{"id":"W4287460293","doi":"","title":"Multi-gene Pharmacogenomic Testing That Includes Decision-Support Tools to Guide Medication Selection for Major Depression: A Health Technology Assessment.","year":2021,"lang":"en","type":"article","venue":"PubMed","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacogenomics; Selection (genetic algorithm); Depression (economics); Clinical decision support system; Medicine; Decision support system; Psychology; Computer science; Pharmacology; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05481341,0.001860082,0.005798608,0.01097561,0.0004358735,0.004407637,0.002547497,0.004114646,0.005119594],"category_scores_gemma":[0.1720506,0.001111184,0.01498222,0.006222805,0.0008360086,0.003416617,0.002607399,0.003314842,0.0004958187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00829694,"about_ca_system_score_gemma":0.01226629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893789,"about_ca_topic_score_gemma":0.00829765,"domain_scores_codex":[0.9347948,0.04903406,0.005519675,0.001855107,0.008276428,0.000519954],"domain_scores_gemma":[0.7751359,0.1939762,0.01647844,0.002615778,0.01038044,0.001413194],"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":[0.003597297,0.0005206136,0.007066226,0.1927124,0.03143769,0.0002161251,0.0002695967,0.0160589,0.0003882457,0.007845296,0.01103102,0.7288566],"study_design_scores_gemma":[0.02080112,0.01525365,0.0341774,0.5293601,0.1712277,0.001539082,0.0005212522,0.08106118,0.002285725,0.0517217,0.09126283,0.0007883856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009126327,0.9074568,0.03976288,0.02533487,0.0009462572,0.006721033,0.003471859,0.0004455465,0.006734381],"genre_scores_gemma":[0.2764113,0.4857593,0.1997974,0.01603695,0.001706285,0.01616945,0.003026218,0.0001026966,0.0009903489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05481341,"threshold_uncertainty_score":0.2898845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2483906405352999,"score_gpt":0.4837030444758714,"score_spread":0.2353124039405715,"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."}}