{"id":"W4375815274","doi":"10.1007/978-3-030-42825-9_130-1","title":"Pharmacogenomics and Precision Psychiatry","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Pharmacogenomics; Pharmacogenetics; Drug reaction; Medicine; Psychiatry; Data science; Machine learning; Computer science; Artificial intelligence; Psychology; Drug; Pharmacology; Biology","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":[0.0005482582,0.0009924661,0.0007618226,0.001437563,0.0006010592,0.002617352,0.0007179316,0.001814518,0.03895138],"category_scores_gemma":[0.001037313,0.0004157686,0.0003348457,0.001456191,0.001584716,0.002525913,0.001188839,0.002874185,0.02290895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293471,"about_ca_system_score_gemma":0.001041115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913307,"about_ca_topic_score_gemma":0.005918945,"domain_scores_codex":[0.9997165,0.0000766075,0.000008870651,0.00003340745,0.000149012,0.00001567391],"domain_scores_gemma":[0.9996679,0.0002246311,0.00001105489,0.00003069235,0.00004899724,0.00001677328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001578954,0.00003195921,0.00006232868,0.0002984396,0.00001361014,0.00009482387,0.0001919427,0.0007332108,0.0005159269,0.2625924,0.4202635,0.3151861],"study_design_scores_gemma":[0.000003298766,0.00000887891,0.0001153165,0.0001864364,0.000004783335,0.0002458845,0.00004738614,0.0002860134,0.0001721411,0.1335147,0.8654076,0.000007480721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004696778,0.2095304,0.03274149,0.01291639,0.005544402,0.00005318643,0.0003196949,0.0004830507,0.7379419],"genre_scores_gemma":[0.005021878,0.07651452,0.01107119,0.00652094,0.002570385,0.00007078676,0.000191999,0.0002314638,0.8978068],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03895138,"threshold_uncertainty_score":0.1303053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494694935401257,"score_gpt":0.429653680193629,"score_spread":0.2801841866535033,"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."}}