{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001230281,0.001012469,0.001356219,0.000383741,0.0001844372,0.0001638788,0.001179606,0.0009914748,0.001138954],"category_scores_gemma":[0.0008732046,0.0009171951,0.0003810189,0.0003333611,0.000732354,0.0001337611,0.0004735022,0.001761581,0.000638953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005009393,"about_ca_system_score_gemma":0.0003228734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002732452,"about_ca_topic_score_gemma":0.000002080177,"domain_scores_codex":[0.9937649,0.002031386,0.0008250221,0.001753735,0.0006619241,0.0009630085],"domain_scores_gemma":[0.9939241,0.002610333,0.001044086,0.001896807,0.0002050382,0.0003196821],"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":[0.002371051,0.0006146013,0.1941661,0.0005257483,0.001560123,0.001453022,0.0001888372,0.000321509,0.7957787,0.001097014,0.001881522,0.00004178351],"study_design_scores_gemma":[0.003181097,0.001609171,0.5979992,0.003932855,0.000394786,4.455188e-7,0.00001363452,0.00006811482,0.3821396,0.000009672279,0.008920497,0.001730911],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990739,0.003113853,0.001780068,0.0002701292,0.002298344,0.0009040696,0.0003589356,0.0004089375,0.0001266259],"genre_scores_gemma":[0.9982525,0.0002763385,0.0002200551,0.00005698201,0.0006458919,0.0002589418,9.230582e-7,0.0002575879,0.00003078068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4136391,"threshold_uncertainty_score":0.9997742,"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."}}