{"id":"W2783743589","doi":"10.1161/circgen.117.002045","title":"Coagulation Factors in Ischemic Heart Disease","year":2018,"lang":"en","type":"letter","venue":"Circulation Genomic and Precision Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"National Heart, Lung, and Blood Institute","keywords":"Mendelian randomization; Epidemiology; Observational study; Medicine; Gerontology; Center of excellence; Demography; Internal medicine; Sociology; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000505585,0.0002609545,0.0003910862,0.0001721952,0.00008714355,0.00001038026,0.0001261886,0.0006977057,0.0001454928],"category_scores_gemma":[0.0004130984,0.0002274909,0.00006600267,0.00009319945,0.0001623107,0.000003750208,0.00007709531,0.0003171332,0.00001783407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000533191,"about_ca_system_score_gemma":0.00008285181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004651476,"about_ca_topic_score_gemma":0.000008349737,"domain_scores_codex":[0.9982226,0.000215279,0.0005249546,0.0005952233,0.0001777846,0.0002641817],"domain_scores_gemma":[0.999055,0.0001263644,0.0002345366,0.0003945584,0.00008938649,0.0001001339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002732655,0.00000682506,0.2239557,0.00002887259,0.00001930281,0.000002223849,0.00007588423,0.0001214781,0.01097583,0.000001499202,0.7641543,0.0006308045],"study_design_scores_gemma":[0.000398241,0.00006265184,0.5460107,0.00005331696,0.00003537069,0.000004187343,0.00002011711,0.0003520113,0.00002088188,0.0004624379,0.4523968,0.0001833038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944333,0.002477009,0.001864721,0.09965421,0.0005760491,0.0004396084,0.00003883204,0.00001288813,0.000503398],"genre_scores_gemma":[0.885186,0.0003494988,0.0002551569,0.1048114,0.004042182,0.00002389568,0.004356221,0.00004518398,0.0009304923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.322055,"threshold_uncertainty_score":0.927681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509776785219552,"score_gpt":0.2825953812070612,"score_spread":0.2574976133548657,"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."}}