{"id":"W2995735764","doi":"10.1002/ccr3.2604","title":"Precision medication: An illustrative case series guiding the clinical application of multi‐drug interactions and pharmacogenomics","year":2019,"lang":"en","type":"article","venue":"Clinical Case Reports","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pharmacogenomics; Medicine; Precision medicine; Drug; Drug administration; Medical physics; Affect (linguistics); Intensive care medicine; Pharmacology; Psychology; 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":[0.0008772313,0.002138375,0.000878378,0.002800013,0.002724413,0.002369831,0.001659392,0.008406913,0.003550629],"category_scores_gemma":[0.008128795,0.0008921033,0.001381554,0.001936669,0.002224959,0.002147563,0.002346146,0.004632424,0.001212475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807865,"about_ca_system_score_gemma":0.001547481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025541,"about_ca_topic_score_gemma":0.004141287,"domain_scores_codex":[0.9987185,0.0004103043,0.0001958419,0.0001612728,0.0002509521,0.0002631122],"domain_scores_gemma":[0.9967327,0.001666737,0.0006555103,0.0002202149,0.0001954238,0.0005294083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00002251449,0.00004570335,0.002699901,0.00004358907,0.000009329099,0.9911065,0.0003080686,0.0006666161,0.0002498098,0.0009771654,0.001021684,0.002849215],"study_design_scores_gemma":[0.000007331444,0.00003134885,0.0007152124,0.00004652052,0.00000782921,0.9945879,0.0002643028,0.0006702039,0.0002483331,0.0009318727,0.0024733,0.00001583607],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7571192,0.02572876,0.09805524,0.03734395,0.00234459,0.001488477,0.000849761,0.0007858045,0.07628428],"genre_scores_gemma":[0.9556444,0.00628233,0.02649638,0.00375397,0.00147735,0.0002046437,0.000217004,0.00009495782,0.005828978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008406913,"threshold_uncertainty_score":0.01311707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2861139187664311,"score_gpt":0.5536936800650948,"score_spread":0.2675797612986637,"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."}}