{"id":"W7084098510","doi":"10.60645/bdc-o89w-795u","title":"NHLBI GO-ESP: Early-Onset Myocardial Infarction Exome Chip (Broad EOMI)","year":2025,"lang":"en","type":"dataset","venue":"NHLBI BioData Catalyst","topic":"Educational Practices and Sociocultural Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Myocardial infarction; Coronary artery disease; Cohort; Exome; Exome sequencing; Genotyping; Stenosis; Coronary artery bypass surgery; Coronary heart disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00270686,0.0008542984,0.0009543424,0.001102067,0.001173809,0.001907018,0.001855127,0.0017868,0.03050093],"category_scores_gemma":[0.002414587,0.0007272575,0.0006528735,0.001791961,0.0003124314,0.0005512722,0.002678392,0.001768655,0.01494814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007957899,"about_ca_system_score_gemma":0.001469731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006125454,"about_ca_topic_score_gemma":0.01303426,"domain_scores_codex":[0.9988801,0.0004069051,0.00004286683,0.0002724721,0.0001813574,0.0002162933],"domain_scores_gemma":[0.998911,0.0002002664,0.0001045023,0.0002370069,0.0002252004,0.0003219819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004152291,0.0003490527,0.02583754,0.0006880006,0.0004266181,0.0006411544,0.0001744153,0.000401548,0.01733382,0.003656588,0.871411,0.07492793],"study_design_scores_gemma":[0.005873358,0.001201414,0.1968536,0.0005905837,0.0006538007,0.00182823,0.0001791046,0.0009703516,0.007099839,0.00668181,0.7779111,0.0001568412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07180274,0.00985031,0.02431888,0.01262848,0.001193453,0.003726443,0.7791558,0.005078449,0.09224544],"genre_scores_gemma":[0.1238188,0.005834628,0.05215152,0.02290805,0.001074898,0.01399959,0.7002079,0.001456416,0.07854816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03050093,"threshold_uncertainty_score":0.1020358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199641238408981,"score_gpt":0.3889542248261719,"score_spread":0.3469578124420821,"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."}}