{"id":"W7084081040","doi":"10.60645/bdc-gdy3-1r64","title":"NHLBI GO-ESP: Early-Onset Myocardial Infarction Exome Chip (Broad EOMI)","year":2025,"lang":"en","type":"dataset","venue":"NHLBI BioData Catalyst","topic":"Seismic Performance and Analysis","field":"Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003475744,0.0009370699,0.001165613,0.001195582,0.0002575791,0.0003061129,0.001548344,0.0009051661,0.0004007296],"category_scores_gemma":[0.0000890013,0.0009654233,0.0005391068,0.001410512,0.0001448271,0.0006319877,0.0004683294,0.001243419,0.001496232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335988,"about_ca_system_score_gemma":0.0001760557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002619365,"about_ca_topic_score_gemma":0.0003204379,"domain_scores_codex":[0.996533,0.00006321081,0.0009101834,0.0009539832,0.0006520519,0.0008875395],"domain_scores_gemma":[0.9966394,0.00007891639,0.0001973426,0.002742486,0.00008568607,0.0002561531],"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":[0.00002429437,0.00004128517,0.0001818116,0.0003506298,0.001031641,0.0000280415,0.00003238996,0.0002216111,0.0001137638,9.270077e-7,0.9950063,0.002967345],"study_design_scores_gemma":[0.0005086522,0.00004602957,0.0007098144,0.0002127937,0.0009798029,0.00002987212,0.00003839883,0.0005693143,0.0003270219,0.00000934367,0.9955763,0.0009926291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00761434,0.001247418,0.00006394317,0.00008835569,0.00240871,0.0003118929,0.9872594,0.0004234352,0.000582525],"genre_scores_gemma":[0.004646732,0.004145036,0.00004148928,0.0005105201,0.001173329,0.000120535,0.9885648,0.00005356359,0.0007439885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002967608,"threshold_uncertainty_score":0.9992812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00809066265243959,"score_gpt":0.2229105367223101,"score_spread":0.2148198740698705,"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."}}