{"id":"W2033806536","doi":"10.3109/10408363.2014.950407","title":"Is personalized medicine a dream or a reality?","year":2014,"lang":"en","type":"review","venue":"Critical Reviews in Clinical Laboratory Sciences","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"U.S. Public Health Service","keywords":"Pharmacogenomics; VKORC1; Personalized medicine; Medicine; Warfarin; Precision medicine; Pharmacogenetics; Drug; CYP2C9; Intensive care medicine; Bioinformatics; Pharmacology; Internal medicine; Biology; Genetics; Gene; Cytochrome P450; Atrial fibrillation; Pathology","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":[0.04154207,0.001530597,0.003911885,0.002365125,0.004964628,0.01676485,0.003415332,0.01686353,0.01213196],"category_scores_gemma":[0.04985793,0.0007656377,0.00193624,0.002553225,0.02919865,0.02991284,0.009988449,0.03729788,0.005832424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00669907,"about_ca_system_score_gemma":0.01055373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002281778,"about_ca_topic_score_gemma":0.002103664,"domain_scores_codex":[0.977523,0.01247361,0.0011039,0.002691909,0.00481969,0.001387843],"domain_scores_gemma":[0.9311817,0.04996293,0.00216881,0.005720759,0.005303578,0.005662212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001860265,0.000137426,0.001399161,0.002508012,0.0003898214,0.0004864755,0.002588991,0.0008485206,0.0007434884,0.4211242,0.3694955,0.2000924],"study_design_scores_gemma":[0.00003462746,0.00007869155,0.0006283931,0.00214973,0.00007689527,0.000553112,0.001567739,0.0004108372,0.0002014434,0.4776646,0.5165406,0.0000932757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0004474566,0.07844412,0.008790217,0.89966,0.007176522,0.00002224354,0.0001864967,0.0001969471,0.00507604],"genre_scores_gemma":[0.05069537,0.2527452,0.03364582,0.6154833,0.03896019,0.0002223957,0.0005584509,0.0003469869,0.007342326],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04154207,"threshold_uncertainty_score":0.2196981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7021953646493445,"score_gpt":0.6928524729234234,"score_spread":0.009342891725921065,"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."}}