{"id":"W2525505408","doi":"10.1101/064345","title":"Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ste. Anne's Hospital","funders":"Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; National Science Foundation","keywords":"Aripiprazole; Counterfactual thinking; Partial agonist; Psychology; Dopamine; Tourette syndrome; Reinforcement learning; Dopamine agonist; Agonist; Cognitive psychology; Medicine; Psychiatry; Internal medicine; Schizophrenia (object-oriented programming); Neuroscience; Artificial intelligence; Dopaminergic; Receptor; Computer science; Social psychology","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":[0.0003205259,0.0004483641,0.0003777892,0.0003286472,0.0002396233,0.0001701493,0.0002234816,0.0005481259,0.001849817],"category_scores_gemma":[0.001135001,0.0001480403,0.0003461617,0.0001765966,0.0009502894,0.0001613655,0.0003349344,0.0006322908,0.000159355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003088989,"about_ca_system_score_gemma":0.0001669913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363685,"about_ca_topic_score_gemma":0.00248526,"domain_scores_codex":[0.9997498,0.0001017521,0.00002893389,0.00005006283,0.0000492668,0.00002013631],"domain_scores_gemma":[0.9992337,0.0002832624,0.0002102949,0.000114063,0.00005795531,0.0001007236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01388621,0.003137092,0.2179567,0.000685675,0.0009804801,0.02918056,0.00124411,0.001558348,0.6768857,0.00121184,0.0008633551,0.05240988],"study_design_scores_gemma":[0.0006514256,0.01449039,0.8853084,0.00005942335,0.0002963103,0.03832322,0.0005225305,0.003997314,0.05334227,0.0007539745,0.002194577,0.00006025205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998949,0.000223291,0.0002313145,0.00007441617,0.000005490452,0.00001325041,0.00006118226,0.000006882749,0.0004352658],"genre_scores_gemma":[0.9995508,0.0001068342,0.0001321739,0.00004426541,0.000003035135,0.000006822179,0.00006095934,0.000001372834,0.00009377432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003363685,"threshold_uncertainty_score":0.006688237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210773841469543,"score_gpt":0.2632754817297192,"score_spread":0.2511677433150237,"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."}}