{"id":"W3128424220","doi":"10.3390/pharmaceutics13020197","title":"Precision Medicine: Applied Concepts of Pharmacogenomics in Patients with Various Diseases and Polypharmacy","year":2021,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pharmacogenomics; Polypharmacy; Medicine; Precision medicine; Intensive care medicine; Personalized medicine; Pharmacology; Bioinformatics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005634481,0.0005296104,0.0008190562,0.0002871258,0.0001748198,0.00002275862,0.0003897993,0.0002132396,0.001318357],"category_scores_gemma":[0.00009213066,0.0004743345,0.00008550754,0.0007324074,0.0006498265,0.0001585206,0.0003162628,0.0009203778,0.00002058395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008171136,"about_ca_system_score_gemma":0.00025654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001339126,"about_ca_topic_score_gemma":0.000004382954,"domain_scores_codex":[0.9966133,0.0004865447,0.0008994783,0.0007250594,0.0005224664,0.0007531864],"domain_scores_gemma":[0.997623,0.0006166619,0.0003721822,0.0003357544,0.0003822421,0.0006702154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005942316,0.003352711,0.5719789,0.0005024339,0.0008964877,0.0002057477,0.003062019,0.002466329,0.206681,0.002026833,0.001578585,0.2013066],"study_design_scores_gemma":[0.0740372,0.0003356304,0.2028274,0.0001429507,0.003101107,0.00005184524,0.0004469997,0.00662481,0.3989221,0.001336457,0.310355,0.00181848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808168,0.01156388,0.000111848,0.0004239183,0.001300472,0.001200252,0.0003171041,0.000071512,0.004194203],"genre_scores_gemma":[0.9898146,0.006009153,0.0004570929,0.003030207,0.0002906883,0.00006956064,0.00011955,0.00007788832,0.000131242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3691515,"threshold_uncertainty_score":0.9997708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05558214301569941,"score_gpt":0.4161266348303737,"score_spread":0.3605444918146743,"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."}}