{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02215507,0.001558708,0.003716537,0.005557802,0.001051533,0.006324374,0.00209649,0.003621847,0.00282019],"category_scores_gemma":[0.02262224,0.0006026921,0.001735279,0.00329555,0.01249034,0.005478958,0.004427217,0.006653317,0.001341261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003383764,"about_ca_system_score_gemma":0.004955542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002255525,"about_ca_topic_score_gemma":0.001744844,"domain_scores_codex":[0.9865254,0.006628209,0.0009147055,0.001853794,0.003844681,0.0002331675],"domain_scores_gemma":[0.9734424,0.02020179,0.001799055,0.002309188,0.001834225,0.0004133673],"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":[0.0003209049,0.000249477,0.008051683,0.00644587,0.0014972,0.0006189867,0.001527296,0.004676021,0.004493732,0.5174939,0.0238001,0.4308248],"study_design_scores_gemma":[0.00007204201,0.0004995682,0.004761775,0.002385697,0.0004366842,0.001859065,0.0004397362,0.004702066,0.003178833,0.8134288,0.168025,0.0002106998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007991438,0.4108585,0.4516625,0.08781777,0.004760857,0.0003098115,0.001102673,0.00115802,0.03433854],"genre_scores_gemma":[0.244549,0.3286983,0.3509124,0.04800403,0.0193262,0.0007943877,0.0007889349,0.0002710003,0.006655626],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02215507,"threshold_uncertainty_score":0.1171687,"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."}}