{"id":"W2992911505","doi":"10.2147/ceor.s224277","title":"&lt;p&gt;Canadian Medication Cost Savings Associated with Combinatorial Pharmacogenomic Guidance for Psychiatric Medications&lt;/p&gt;","year":2019,"lang":"en","type":"article","venue":"ClinicoEconomics and Outcomes Research","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Assurex Health","keywords":"Formulary; Medicine; Medical prescription; Pharmacogenomics; Pharmacy; Antipsychotic; Psychiatry; Test (biology); Family medicine; Schizophrenia (object-oriented programming); Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001152545,0.0006268581,0.0002847462,0.001764373,0.0007592023,0.001257569,0.001021605,0.0005059955,0.003281966],"category_scores_gemma":[0.008258001,0.0003275275,0.00131433,0.002348015,0.0003799995,0.0004309406,0.0008230237,0.0006699545,0.000217812],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03500915,"about_ca_system_score_gemma":0.0324105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9486081,"about_ca_topic_score_gemma":0.9512379,"domain_scores_codex":[0.9977275,0.0003321513,0.0001032666,0.0001990685,0.001378384,0.0002597281],"domain_scores_gemma":[0.9965848,0.0005227993,0.001269582,0.0001188022,0.001140643,0.000363398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001008653,0.0001544168,0.8670365,0.0005098436,0.001378825,0.0001933755,0.0001683609,0.0205813,0.0003589587,0.00200863,0.0164806,0.09012049],"study_design_scores_gemma":[0.0002176118,0.0003555467,0.9527123,0.0002504916,0.0008111417,0.0003278637,0.0002527926,0.03370304,0.0007146036,0.0005123032,0.0100757,0.00006666802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355645,0.004708921,0.003270098,0.005008111,0.00007438822,0.0005479551,0.02822473,0.0002066259,0.02239467],"genre_scores_gemma":[0.9873569,0.001183046,0.003889617,0.0005455352,0.00003827304,0.00008449079,0.005422324,0.00002059887,0.001459221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9649909,"threshold_uncertainty_score":0.2540103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112147836875957,"score_gpt":0.483614907670712,"score_spread":0.371467070794755,"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."}}