{"id":"W2314367616","doi":"10.1161/circgenetics.113.000294","title":"Circulating MicroRNAs and the Occurrence of Acute Myocardial Infarction in Chinese Populations","year":2014,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Program for New Century Excellent Talents in University; Canadian Institutes of Health Research; Tongji University","keywords":"Myocardial infarction; microRNA; Medicine; Internal medicine; Biology; Cardiology; Bioinformatics; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008167347,0.0001771144,0.0003040833,0.0001012771,0.0001032448,0.00002849293,0.0001328256,0.0001461869,0.000002694295],"category_scores_gemma":[0.0001913426,0.000155966,0.0004771424,0.0002759443,0.0002010844,0.000009607112,0.00009537315,0.00009010207,0.000001569279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002379078,"about_ca_system_score_gemma":0.00004239667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002999944,"about_ca_topic_score_gemma":0.0000118842,"domain_scores_codex":[0.9984043,0.0003603215,0.0004175525,0.0003619901,0.0002771384,0.0001786442],"domain_scores_gemma":[0.9989465,0.00002806383,0.0001601422,0.0006560274,0.0001554543,0.00005376976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001535846,0.0000584504,0.4045466,0.0001118939,0.002045727,0.000002029532,0.0004228142,0.2812097,0.2913522,0.0009530804,0.0000489842,0.01909492],"study_design_scores_gemma":[0.002533385,0.00002266066,0.9738201,0.00002199138,0.0004324397,0.00006337838,0.00001999832,0.01887524,0.001951021,0.0009278557,0.001078394,0.0002535303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616715,0.004110979,0.03334765,0.00004413296,0.0002042798,0.0004513365,0.0000233358,0.00001027769,0.0001365078],"genre_scores_gemma":[0.9984655,0.0002170895,0.0007702374,0.00004246967,0.0002077389,0.00002848893,0.0002475234,0.00001872954,0.000002262396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692735,"threshold_uncertainty_score":0.6360109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009453603260511163,"score_gpt":0.2416680772333177,"score_spread":0.2322144739728066,"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."}}