{"id":"W7084079898","doi":"10.60645/bdc-n338-gr3n","title":"NHLBI GO-ESP: Early-Onset Myocardial Infarction Exome Chip (Broad EOMI)","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"COVID-19 impact on air quality","field":"Environmental Science","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":["insufficient_payload"],"category_scores_codex":[0.001282518,0.0005603307,0.0006858505,0.0001522201,0.0002785889,0.0005717512,0.002287094,0.0005606852,0.05175373],"category_scores_gemma":[0.0005621535,0.0005694696,0.000233435,0.0006016486,0.0003082035,0.0006244599,0.003094075,0.0008144958,0.01229032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059167,"about_ca_system_score_gemma":0.0002988735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738622,"about_ca_topic_score_gemma":0.002647907,"domain_scores_codex":[0.9962045,0.0004807668,0.0006465008,0.001174417,0.0008311395,0.0006626862],"domain_scores_gemma":[0.9971392,0.0002778294,0.0003720636,0.00185661,0.00001325348,0.0003411007],"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":[0.0001181561,0.0001319575,0.002966609,0.00001906683,0.00006792957,0.00001915381,0.0001248395,0.00002647617,0.00004022217,1.967254e-7,0.9739193,0.02256605],"study_design_scores_gemma":[0.0006297121,0.0001378329,0.04898437,0.00006511123,0.0001193445,0.000009680159,0.00002479645,0.000006153867,0.00008902347,0.0000472587,0.9492893,0.0005973791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03248253,0.00001844246,0.00001019219,0.0007330583,0.0009839467,0.001268849,0.9575515,0.000007589519,0.006943873],"genre_scores_gemma":[0.001980301,0.000081269,0.0004456899,0.002245874,0.0002236995,0.0001054847,0.9862121,0.00002442437,0.008681162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04601776,"threshold_uncertainty_score":0.9996757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686654784078977,"score_gpt":0.3463941881432154,"score_spread":0.3095276403024256,"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."}}