Balloon Analogue Risk Task (BART) - Virtual Reality
The Balloon Analogue Risk Task (BART) is a computerized measure of risk-taking behavior. The BART models real-world risk behavior through the concept balancing the potential for reward versus loss. In the task, the participant is presented with a balloon and offered the chance to earn money by pumping the balloon. Each click causes the balloon to incrementally inflate and money to be added to a counter up until some threshold, at which point the balloon is over-inflated and explodes. Each pump confers greater risk, but also a greater potential reward. If the participant chooses to cash-out prior to the balloon exploding, they collect the money earned for that trial, but if the balloon explodes, earnings for that trial are lost. The goal is to save the most points before the balloons pop, and release them to cash in the points.
In YOUth, a variant of the task was created for the Oculus Rift Virtual Reality headset. Using this headset, the participant is placed in a large room and stands in front of a table with a balloon and two buttons. Using controllers in each hand, the participant can simply move their hand towards the button to either inflate the balloon or cash-out. There are three different balloon colors: green, yellow and purple. These each have different properties, with the chance of the balloon popping being low, medium, and high, and with each pump giving 1, 2 or 5 points, respectively. There are 24 balloons in total, with the colors presented in a pseudo-random sequence (generated once for all participants). The task may take up to 10 minutes (when participants are not yet finished the task is ended at the 10 minute mark).
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11.0 - 16.0 years From 2019-07-04 to 2022-12-01 |
Mode of collection | MeasurementsAndTests Behavioral/cognitive task |
Analysis unit | Individual |
Instrument name | Balloon Analogue Risk Task (BART) |
Measure name | Virtual Reality Balloon Analoque Risk Task |
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Measure was collected within the following cohort study:
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control, and how this relationship is mediated by the developing brain. |
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Time method | Longitudinal |
Universe | YOUth stands for Youth Of Utrecht, as we aim to include a population-based sample from Utrecht and its surrounding areas in the Netherlands. The region from which the participants are recruited is a densely populated region that combines both urban and rural areas, and covers the province of Utrecht and a few cities on the borders of this province. The catchment area of YOUth represents approximately 7.6 % of the Dutch population of currently over 17 million inhabitants in the country. Approximately 16 % of the inhabitants of the province of Utrecht are 0–10 years old. Compared to the rest of the Netherlands, inhabitants of the province of Utrecht are relatively highly educated; In 2015 approximately 38 % of the population was highly educated compared to 28 % in the rest of the country. |
Measure was collected within the following cohort(s):
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Description | The YOUth Child & Adolescent cohort includes 1338 children aged 8, 9 or 10 and their parents through primary schools and events. For a subset of these children, data from a second measurement wave (Around 12 years old) is available. |
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control and how this relationship is mediated by the developing brain. |
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Country code | NL |
Geographic location | Utrecht region |
Lowest geographic reference | postal code |
Highest geographic reference | country |
Cohort universe description | Children aged 8 to 16 from the Utrecht region |
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Additional info (URL) | https://doi.org/10.24416/UU01-729A2Y |
Additional information | Dummy data for all YOUth data are publicly available via Yoda. |
Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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Short description of the wave | The 12y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 11-16 years old, and questionnaires filled out by their parents. Originally, the 12y wave was intended to measure 11-13 year old children, but due to the Covid-19 pandemic and other factors, the 12y and the 15y waves had to merged. |
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(sub) cohort | YOUth: Child and Adolescent |
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Start date wave collection | 2019-07-04 |
End date wave collection | 2022-12-01 |
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Description of physical data product | Digital files, biomedical samples |
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author | None |
author_email | None |
creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
dc_additional_info | In YOUth, a variant of the task was created for the Oculus Rift Virtual Reality headset. Using this headset, the participant is placed in a large room and stands in front of a table with a balloon and two buttons. Using controllers in each hand, the participant can simply move their hand towards the button to either inflate the balloon or cash-out. There are three different balloon colors: green, yellow and purple. These each have different properties, with the chance of the balloon popping being low, medium, and high, and with each pump giving 1, 2 or 5 points, respectively. There are 24 balloons in total, with the colors presented in a pseudo-random sequence (generated once for all participants). The task may take up to 10 minutes (when participants are not yet finished the task is ended at the 10 minute mark). |
dc_analysis_unit | {Individual} |
dc_cohort | YOUth |
dc_instrument_name | Balloon Analogue Risk Task (BART) |
dc_measure_name | Virtual Reality Balloon Analoque Risk Task |
id | 3e32e2b2-bcef-415b-8839-ac07a6c295cf |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T11:59:35.829203 |
metadata_modified | 2024-10-20T12:26:51.988705 |
name | e872698eedad98a7bfad3f989e9f5e36 |
notes | The Balloon Analogue Risk Task (BART) is a computerized measure of risk-taking behavior. The BART models real-world risk behavior through the concept balancing the potential for reward versus loss. In the task, the participant is presented with a balloon and offered the chance to earn money by pumping the balloon. Each click causes the balloon to incrementally inflate and money to be added to a counter up until some threshold, at which point the balloon is over-inflated and explodes. Each pump confers greater risk, but also a greater potential reward. If the participant chooses to cash-out prior to the balloon exploding, they collect the money earned for that trial, but if the balloon explodes, earnings for that trial are lost. The goal is to save the most points before the balloons pop, and release them to cash in the points. |
num_resources | 0 |
num_tags | 0 |
organization | {'id': 'c64f3b11-639d-4246-ac50-2e6d78c8d155', 'name': 'youth', 'title': 'YOUth', 'type': 'organization', 'description': "YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.", 'image_url': 'https://data.individualdevelopment.nl/img/logo_youth.png', 'created': '2024-10-17T13:42:26.820616', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
owner_org | c64f3b11-639d-4246-ac50-2e6d78c8d155 |
private | False |
state | active |
title | Balloon Analogue Risk Task (BART) - Virtual Reality |
type | measure |
cohort | [{'cohort_alternate_title': ['YOUth Child and Adolescent', 'Child & Adolescent', 'YOUth kind en tiener'], 'cohort_description': 'The YOUth Child & Adolescent\xa0cohort includes 1338 children aged 8, 9 or 10\xa0and their parents through primary schools and events. For a subset of these children, data from a second measurement wave (Around 12 years old) is available.', 'cohort_info_description': 'Dummy data for all YOUth data are publicly available via Yoda.', 'cohort_info_url': 'https://doi.org/10.24416/UU01-729A2Y', 'cohort_language': 'NL', 'cohort_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control and how this relationship is mediated by the developing brain.', 'cohort_spatial_country_code': 'NL', 'cohort_spatial_geographic_location': 'Utrecht region', 'cohort_spatial_highest_reference': 'country', 'cohort_spatial_lowest_reference': 'postal code', 'cohort_time_method': 'Longitudinal.CohortEventBased', 'cohort_title': 'YOUth: Child and Adolescent', 'cohort_universe': 'Children aged 8 to 16 from the Utrecht region', 'cohort_contributor': [{'cohort_contributor': 'Scholten, Ron', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-4571-8855'}, {'cohort_contributor': 'Hulshoff Pol, Hilleke', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-2038-5281'}, {'cohort_contributor': 'Bos, Dienke', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-0427-4573'}, {'cohort_contributor': 'Veldkamp, Coosje', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0003-3596-5980'}, {'cohort_contributor': 'Pas, Pascal', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-2200-7591'}, {'cohort_contributor': 'van Wielink, Lilli', 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'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0001-9015-3550'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Utrecht University', 'cohort_creator_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_name': 'Kemner, Chantal', 'cohort_creator_pid': '0000-0002-8879-2588'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_award_title': 'Gravitation program', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '024.001.003'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/04pp8hn57', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Utrecht University'}, {'cohort_publisher_identifier': 'https://ror.org/0575yy874', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'University Medical Center Utrecht'}], 'cohort_references': [{'cohort_reference_citation': 'Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E., Brouwer, R. M., Buimer, E. E., Hessels, R. S., ... & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental cognitive neuroscience, 46, 100868. https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Buimer, E. E., Pas, P., Brouwer, R. M., Froeling, M., Hoogduin, H., Leemans, A., ... & Mandl, R. C. (2020). The YOUth cohort study: MRI protocol and test-retest reliability in adults. Developmental cognitive neuroscience, 45, 100816. https://doi.org/10.1016/j.dcn.2020.100816', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100816', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/tmss-b406'}] |
dc_constructs | [{'dc_construct': 'cognition'}, {'dc_construct': 'personality'}] |
dc_labels | [{'dc_label': 'risk behavior'}, {'dc_label': 'risk taking'}, {'dc_label': 'inhibition'}, {'dc_label': 'reward'}, {'dc_label': 'cognitive control'}, {'dc_label': 'virtual reality'}, {'dc_label': 'balloon task'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., Strong, D. R., & Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75–84. https://doi.org/10.1037/1076-898x.8.2.75\n', 'dc_measurements_references_doi': 'https://doi.org/10.1037/1076-898X.8.2.75'}] |
dc_modes_of_collection | [{'dc_mode_of_collection': 'MeasurementsAndTests'}] |
dc_modes_of_collection_sub | [{'dc_mode_of_collection_sub': 'Behavioral/cognitive task'}] |
measure_age_range | [{'measure_age_month': 132}, {'measure_age_month': 133}, {'measure_age_month': 134}, {'measure_age_month': 135}, {'measure_age_month': 136}, {'measure_age_month': 137}, {'measure_age_month': 138}, {'measure_age_month': 139}, {'measure_age_month': 140}, {'measure_age_month': 141}, {'measure_age_month': 142}, {'measure_age_month': 143}, {'measure_age_month': 144}, {'measure_age_month': 145}, {'measure_age_month': 146}, {'measure_age_month': 147}, {'measure_age_month': 148}, {'measure_age_month': 149}, {'measure_age_month': 150}, {'measure_age_month': 151}, {'measure_age_month': 152}, {'measure_age_month': 153}, {'measure_age_month': 154}, {'measure_age_month': 155}, {'measure_age_month': 156}, {'measure_age_month': 157}, {'measure_age_month': 158}, {'measure_age_month': 159}, {'measure_age_month': 160}, {'measure_age_month': 161}, {'measure_age_month': 162}, {'measure_age_month': 163}, {'measure_age_month': 164}, {'measure_age_month': 165}, {'measure_age_month': 166}, {'measure_age_month': 167}, {'measure_age_month': 168}, {'measure_age_month': 169}, {'measure_age_month': 170}, {'measure_age_month': 171}, {'measure_age_month': 172}, {'measure_age_month': 173}, {'measure_age_month': 174}, {'measure_age_month': 175}, {'measure_age_month': 176}, {'measure_age_month': 177}, {'measure_age_month': 178}, {'measure_age_month': 179}, {'measure_age_month': 180}, {'measure_age_month': 181}, {'measure_age_month': 182}, {'measure_age_month': 183}, {'measure_age_month': 184}, {'measure_age_month': 185}, {'measure_age_month': 186}, {'measure_age_month': 187}, {'measure_age_month': 188}, {'measure_age_month': 189}, {'measure_age_month': 190}, {'measure_age_month': 191}, {'measure_age_month': 192}] |
study | [{'study_alternate_title': ['YOUth', 'YOUth cohort', 'YOUth cohort study'], 'study_language': 'NL', 'study_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control, and how this relationship is mediated by the developing brain.', 'study_time_method': 'Longitudinal', 'study_universe': 'YOUth stands for Youth Of Utrecht, as we aim to include a population-based sample from Utrecht and its surrounding areas in the Netherlands. The region from which the participants are recruited is a densely populated region that combines both urban and rural areas, and covers the province of Utrecht and a few cities on the borders of this province. The catchment area of YOUth represents approximately 7.6 % of the Dutch population of currently over 17 million inhabitants in the country. Approximately 16 % of the inhabitants of the province of Utrecht are 0–10 years old. Compared to the rest of the Netherlands, inhabitants of the province of Utrecht are relatively highly educated; In 2015 approximately 38 % of the population was highly educated compared to 28 % in the rest of the country.', 'title': 'Youth of Utrecht', 'study_contact': [{'study_contact_affiliation': 'Utrecht University', 'study_contact_mail': 'datamanagement.fsw@uu.nl', 'study_contact_name': 'Datamanagement FSW'}], 'study_contributor': [{'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'Scholten, Ron', 'study_contributor_pid': '0000-0002-4571-8855'}, {'study_contributor_affiliation': 'Utrecht University', 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{'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'Schnack, Hugo', 'study_contributor_pid': '0000-0002-4620-3853'}, {'study_contributor_affiliation': 'University Medical Center Utrecht', 'study_contributor_affiliation_identifier': 'https://ror.org/0575yy874', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'de Zwarte, Sonja', 'study_contributor_pid': '0000-0001-9015-3550'}], 'study_data_access': [{'study_data_access_URL': 'https://www.uu.nl/en/research/youth-cohort-study/data-access', 'study_data_access_description': 'YOUth encourages and facilitates extensive and appropriate use of its data by bona fide research organizations and bona fide researchers. To request access, please make use of our online data request system. '}], 'study_funding': [{'study_funder': 'Dutch Research Council', 'study_funder_award_title': 'Gravitation program', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '024.001.003'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Utrecht University', 'study_pi_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Kemner, Chantal', 'study_pi_pid': '0000-0002-8879-2588'}], 'study_publisher': [{'study_publisher_identifier': 'https://ror.org/04pp8hn57', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'Utrecht University'}, {'study_publisher_identifier': 'https://ror.org/0575yy874', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'University Medical Center Utrecht'}], 'study_references': [{'study_reference_citation': 'Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E., Brouwer, R. M., Buimer, E. E., Hessels, R. S., ... & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental cognitive neuroscience, 46, 100868. https://doi.org/10.1016/j.dcn.2020.100868', 'study_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100868', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Buimer, E. E., Pas, P., Brouwer, R. M., Froeling, M., Hoogduin, H., Leemans, A., ... & Mandl, R. C. (2020). The YOUth cohort study: MRI protocol and test-retest reliability in adults. Developmental cognitive neuroscience, 45, 100816. https://doi.org/10.1016/j.dcn.2020.100816', 'study_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100816', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}]}] |
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tags | [] |
groups | [] |
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