{"id":"W762497818","doi":"","title":"Advancements in the Field of Cardiovascular Disease Pharmacogenetics","year":2015,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada; Cisco Systems; Sanofi; Eli Lilly Canada; GlaxoSmithKline; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Pharmacogenetics; Field (mathematics); Disease; Medicine; Data science; Intensive care medicine; Computer science; Internal medicine; Biology; Genetics; Genotype; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005901155,0.0004068227,0.0005393657,0.0002543246,0.0001082646,0.00001667023,0.001031248,0.0003724551,0.02230861],"category_scores_gemma":[0.0000515024,0.0003837861,0.0004116408,0.000645286,0.00007980497,0.00009789309,0.0001120198,0.0009270367,0.00005050989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007606327,"about_ca_system_score_gemma":0.0002739887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007805666,"about_ca_topic_score_gemma":0.0000658576,"domain_scores_codex":[0.9973606,0.0007796976,0.0003873268,0.0004802532,0.0005404326,0.0004517079],"domain_scores_gemma":[0.9986308,0.0002040628,0.0002439514,0.0004347208,0.0002007869,0.000285672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002547008,0.0006365216,0.002265972,0.0004741608,0.00184186,0.0006586598,0.00233242,0.00988937,0.001300992,0.0003232789,0.008368057,0.9693617],"study_design_scores_gemma":[0.002831576,0.00005994161,0.0004967621,0.00005055942,0.002246394,0.000001507335,0.001510813,0.0004617712,0.003886943,0.0002562756,0.9878199,0.0003776201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2141857,0.03940318,0.00008400906,0.0002682334,0.004164394,0.001718787,0.0004314442,0.00005455716,0.7396897],"genre_scores_gemma":[0.6263512,0.02159438,0.0002527351,0.002992781,0.0008809248,0.00003828258,0.0009629102,0.0001658624,0.3467609],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9794518,"threshold_uncertainty_score":0.9998614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05989198314914609,"score_gpt":0.3694268530251954,"score_spread":0.3095348698760493,"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."}}