{"id":"W2901728784","doi":"10.1161/circulationaha.118.035658","title":"Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction","year":2019,"lang":"en","type":"article","venue":"Circulation","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Stephen's University","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Harvard Catalyst; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Human Genome Research Institute; Massachusetts General Hospital; National Institute of General Medical Sciences; American Heart Association","keywords":"Medicine; Myocardial infarction; Whole genome sequencing; Genome; Genome-wide association study; Genetics; Internal medicine; Cardiology; Gene; Single-nucleotide polymorphism; Genotype; Biology","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":[0.0003658419,0.0002549187,0.0003314663,0.000638417,0.000250807,0.0003709417,0.0002527654,0.0004186161,0.0006920786],"category_scores_gemma":[0.001812877,0.0001756635,0.0002293748,0.0006851958,0.0001250537,0.0001552677,0.0003592137,0.0004071165,0.0001070235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852074,"about_ca_system_score_gemma":0.0001702416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003362482,"about_ca_topic_score_gemma":0.005740038,"domain_scores_codex":[0.9997869,0.00005918774,0.00002141803,0.00006797788,0.00002643308,0.00003797908],"domain_scores_gemma":[0.9994092,0.0001791904,0.0002201905,0.00004854388,0.00005312166,0.00008981648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000193126,0.00002579029,0.9940737,0.00001213829,0.0001023338,0.0001987304,0.00008084527,0.0001625239,0.00229037,0.00003338722,0.0001751343,0.002651888],"study_design_scores_gemma":[0.00001194385,0.00004964631,0.9981716,0.000005911485,0.00004151797,0.0004730569,0.00006656316,0.0007733707,0.000208628,0.00005955671,0.0001355949,0.000002571914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993138,0.0001084856,0.0001550144,0.00002631926,0.000001637174,0.000003902007,0.000290177,0.000002681585,0.00009791789],"genre_scores_gemma":[0.9986835,0.00006971547,0.0002937287,0.00003847955,0.000005471975,0.000007071652,0.0008339491,0.00000253145,0.0000655925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003362482,"threshold_uncertainty_score":0.006685793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008316160120197182,"score_gpt":0.2216336275844011,"score_spread":0.2133174674642039,"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."}}