{"id":"W4281741309","doi":"10.1016/j.nicl.2022.103073","title":"Neurocircuit dynamics of arbitration between decision-making strategies across obsessive-compulsive and related disorders","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health; Brain and Behavior Research Foundation","keywords":"Obsessive compulsive; Arbitration; Dynamics (music); Psychology; Neuroscience; Cognitive psychology; Psychiatry; Political science","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":[0.0001159003,0.0001684588,0.0001451864,0.0003593769,0.0001492159,0.0002787856,0.0001775065,0.0001518673,0.0007827288],"category_scores_gemma":[0.0004773015,0.0001472064,0.0001263946,0.0001742267,0.0002846164,0.0002522091,0.000326353,0.0002135424,0.00004210973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473213,"about_ca_system_score_gemma":0.0001823662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579135,"about_ca_topic_score_gemma":0.004812561,"domain_scores_codex":[0.9999316,0.00001170941,0.000004017111,0.00002172657,0.00001366842,0.00001724251],"domain_scores_gemma":[0.9998195,0.00003749587,0.00007155901,0.0000115334,0.00002150407,0.00003856967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009748226,0.0002405041,0.6529389,0.0001550707,0.0003737237,0.000983907,0.00146232,0.001443473,0.2909154,0.001202512,0.0003854878,0.04892382],"study_design_scores_gemma":[0.00001246059,0.0001072845,0.9970046,0.000007075037,0.00002489321,0.0002913181,0.0001845327,0.0006641487,0.001169098,0.0004338001,0.00009611681,0.000004612877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992467,0.00009255244,0.0003270097,0.00002503948,0.000001122679,0.000004523049,0.00004069755,0.000003655179,0.0002587867],"genre_scores_gemma":[0.9993831,0.00007200152,0.0002572885,0.00001441063,0.000001507651,0.000007477344,0.0000762796,0.000001906369,0.0001859291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579135,"threshold_uncertainty_score":0.005128264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653235822170528,"score_gpt":0.3827677274680514,"score_spread":0.3562353692463461,"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."}}