{"id":"W2770611803","doi":"","title":"Abstract 14841: Whole-genome microRNA Sequencing Reveals Circulating microRNAs as High-Risk Markers in Non-ST-Elevation Acute Coronary Syndrome","year":2016,"lang":"en","type":"article","venue":"Circulation","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Acute coronary syndrome; Internal medicine; Framingham Risk Score; microRNA; Atrial fibrillation; ST elevation; Disease; Oncology; Cardiology; Bioinformatics; Myocardial infarction; Gene; Genetics; 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":[0.000899389,0.0002893073,0.0004223523,0.0004082152,0.0002167579,0.0006600363,0.0002436572,0.0003329764,0.003521597],"category_scores_gemma":[0.002198146,0.0001528476,0.0003760246,0.000546321,0.0002103042,0.0001770876,0.0002836637,0.0004545453,0.0007406902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468714,"about_ca_system_score_gemma":0.0003104074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965599,"about_ca_topic_score_gemma":0.0004872699,"domain_scores_codex":[0.9995147,0.0001322105,0.00005626442,0.0001295381,0.0001202377,0.00004706447],"domain_scores_gemma":[0.9992004,0.0003692945,0.0002001877,0.00007030171,0.00009064988,0.00006909624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005126433,0.0002422301,0.7503741,0.0004653798,0.0007782445,0.0008895064,0.0003113717,0.001168545,0.1882112,0.0005074203,0.00377644,0.04814911],"study_design_scores_gemma":[0.0002008223,0.0007108241,0.9683009,0.00003905288,0.0004185128,0.001391287,0.0001102376,0.004212058,0.02075596,0.0005680462,0.003269427,0.00002274105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899373,0.0009741719,0.004527031,0.0002755125,0.00005597526,0.00004100474,0.002607893,0.00008065281,0.00150049],"genre_scores_gemma":[0.9919806,0.0002048162,0.004138144,0.0002604066,0.0000736719,0.00006268394,0.002475943,0.00003525067,0.0007685417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003521597,"threshold_uncertainty_score":0.01178092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009716921053495827,"score_gpt":0.233442327042557,"score_spread":0.2237254059890612,"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."}}