{"id":"W3021148058","doi":"10.1016/j.biopsych.2020.02.963","title":"Computational Modelling of Developmental Adolescent Decision Making","year":2020,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computational model; Computer science; Cognition; Cognitive science; Reinforcement learning; Artificial intelligence; Machine learning; Psychology; Cognitive psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000573738,0.0002811109,0.0004725924,0.0003368277,0.0003478066,0.001140668,0.001090817,0.001006387,0.008671713],"category_scores_gemma":[0.007026189,0.0004087602,0.0005194799,0.0003770622,0.0005782904,0.0007940071,0.000686244,0.001398951,0.0003943639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310445,"about_ca_system_score_gemma":0.001751453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0347879,"about_ca_topic_score_gemma":0.02734685,"domain_scores_codex":[0.9997583,0.0001286301,0.000007911631,0.00003367081,0.00002512901,0.00004634521],"domain_scores_gemma":[0.9963869,0.003127437,0.000105383,0.00006727836,0.0001568864,0.0001561967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004914077,0.00004148487,0.002986017,0.00002500698,0.00002340967,0.0001138906,0.0001434232,0.946481,0.0001311349,0.04405106,0.0008368451,0.005117679],"study_design_scores_gemma":[0.000007490724,0.000006883348,0.000317784,0.000004743284,0.000004724422,0.00001246433,0.00003232112,0.9854928,0.00004438774,0.01377135,0.000302048,0.000003002951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6871408,0.0006661181,0.2710446,0.003899373,0.0001298072,0.00007557524,0.001381825,0.000248033,0.03541384],"genre_scores_gemma":[0.9789613,0.0001673127,0.01649836,0.00007830306,0.00001593151,0.00007478518,0.0002405716,0.00002491638,0.003938402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0347879,"threshold_uncertainty_score":0.06917083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2777334293598531,"score_gpt":0.4332438902124112,"score_spread":0.1555104608525581,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}