{"id":"W4403997665","doi":"10.1016/j.psychres.2024.116255","title":"Exploring the interplay of clinical reasoning and artificial intelligence in psychiatry: Current insights and future directions","year":2024,"lang":"en","type":"review","venue":"Psychiatry Research","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Fondation Brain Canada; Canadian Institute for Advanced Research","keywords":"Scrutiny; Realm; Artificial intelligence; Psychology; GRASP; Cognitive science; Computer science; Data science; Management science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003152468,0.0009758548,0.002651488,0.002632395,0.0004329723,0.003305429,0.001486969,0.002454545,0.004542125],"category_scores_gemma":[0.005385257,0.0004570984,0.001036049,0.003702907,0.002087278,0.003350229,0.001657324,0.003488549,0.001003705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894398,"about_ca_system_score_gemma":0.00591393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361055,"about_ca_topic_score_gemma":0.009982712,"domain_scores_codex":[0.99923,0.0003124275,0.00009700508,0.0001144218,0.000186139,0.00006001451],"domain_scores_gemma":[0.9931402,0.005778114,0.0003211394,0.00008405215,0.0005279587,0.0001485829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001252159,0.00009340481,0.0004787809,0.05244297,0.0003958273,0.0001042368,0.0002350159,0.0004980732,0.0002856421,0.01391965,0.01334542,0.9180758],"study_design_scores_gemma":[0.0001126542,0.0002067479,0.004285377,0.08930181,0.00127501,0.0009469405,0.0008645272,0.0005396961,0.0002875114,0.03328307,0.868798,0.00009868965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004267165,0.9991201,0.00006602928,0.0004683292,0.00005422214,0.000001859745,0.000004677868,0.000002001903,0.0002401308],"genre_scores_gemma":[0.000581947,0.9987133,0.0001978431,0.0003063538,0.0001189972,0.000005228751,0.000008681898,6.985598e-7,0.00006698817],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004542125,"threshold_uncertainty_score":0.01667207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3373176168244787,"score_gpt":0.5595564091629815,"score_spread":0.2222387923385029,"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."}}