{"id":"W4386346081","doi":"10.5281/zenodo.8306240","title":"Drug interactions and pharmacogenetic factors contribute to variation in apixaban concentration in atrial fibrillation patients in routine care","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research, Innovation and Science","keywords":"Apixaban; Atrial fibrillation; Pharmacogenetics; Drug; Medicine; Internal medicine; Pharmacology; Cardiology; Warfarin; Rivaroxaban; Genotype; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002518218,0.000305282,0.0005860902,0.0007550699,0.000320546,0.001252767,0.0006059919,0.0007370334,0.004763521],"category_scores_gemma":[0.02570772,0.0002953548,0.0008869066,0.00160271,0.0003798731,0.0005676373,0.0006653224,0.001259664,0.000526306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830329,"about_ca_system_score_gemma":0.0004074377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592883,"about_ca_topic_score_gemma":0.001444558,"domain_scores_codex":[0.9958023,0.002276246,0.0004282316,0.0007970525,0.0004644116,0.0002317689],"domain_scores_gemma":[0.9802752,0.01219939,0.004998623,0.00160597,0.000405498,0.0005152862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001261191,0.00009357314,0.97474,0.00009400454,0.0009458158,0.0002491237,0.0002617346,0.0003647967,0.0005368421,0.0006658438,0.00143966,0.01934735],"study_design_scores_gemma":[0.00005807672,0.0001997481,0.9893044,0.00004542445,0.000496252,0.0008465176,0.0001703886,0.004931173,0.0002210041,0.002938699,0.0007704254,0.00001785438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854211,0.004596791,0.004234893,0.002075349,0.0001211523,0.00003285609,0.0009978791,0.00006788898,0.002452131],"genre_scores_gemma":[0.9976327,0.0004351363,0.0009049264,0.0001338743,0.00008511332,0.00001595577,0.0004473207,0.00002466612,0.0003202566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004763521,"threshold_uncertainty_score":0.01593554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1541553307567382,"score_gpt":0.4245022829175423,"score_spread":0.2703469521608042,"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."}}