{"id":"W2043084778","doi":"10.1016/j.pnpbp.2014.07.001","title":"Use of candidate gene markers to guide antipsychotic dosage adjustment","year":2014,"lang":"en","type":"article","venue":"Progress in Neuro-Psychopharmacology and Biological Psychiatry","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Schizoaffective disorder; Antipsychotic; Schizophrenia (object-oriented programming); Medicine; Chlorpromazine; Single-nucleotide polymorphism; Psychiatry; Pharmacology; Psychosis; Internal medicine; Psychology; Clinical psychology; Gene; Genetics; Biology; Genotype","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":[0.002404954,0.00123028,0.001391679,0.001890328,0.0004767876,0.001559394,0.0006962442,0.001159104,0.002606338],"category_scores_gemma":[0.01090506,0.0003178171,0.0007777154,0.001203727,0.0003541935,0.0005206823,0.0003813437,0.001614175,0.0006847151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005112572,"about_ca_system_score_gemma":0.0008822221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507272,"about_ca_topic_score_gemma":0.004113757,"domain_scores_codex":[0.9983532,0.0007331907,0.00017377,0.000325787,0.0003682547,0.00004586495],"domain_scores_gemma":[0.9955591,0.002730459,0.0008848679,0.0002156558,0.000469973,0.0001399517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005375909,0.0009241888,0.3454423,0.0005848943,0.002060482,0.001898714,0.0003894145,0.007426843,0.05607053,0.004208592,0.008895406,0.5667227],"study_design_scores_gemma":[0.002909435,0.006195581,0.6581296,0.00145386,0.005583518,0.006813872,0.0009317327,0.1155779,0.09073001,0.0323885,0.07888579,0.0004001661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692908,0.04232734,0.2083439,0.01725045,0.001821423,0.0008272969,0.006845463,0.002904186,0.02677192],"genre_scores_gemma":[0.8978727,0.006323712,0.08745848,0.002613152,0.0003469934,0.0002283615,0.001257558,0.0002025654,0.003696404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002606338,"threshold_uncertainty_score":0.0127188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295884901581841,"score_gpt":0.3496584238408142,"score_spread":0.3166995748249958,"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."}}