{"id":"W2611791402","doi":"10.2174/978160805184711001010121","title":"Circulating miRNAs as Biomarkers for Cardiac Disease","year":2010,"lang":"en","type":"book-chapter","venue":"BENTHAM SCIENCE PUBLISHERS eBooks","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Disease; microRNA; Medicine; Myocardial infarction; Biomarker; Heart failure; Prostate cancer; Diagnostic biomarker; Coronary artery disease; Bioinformatics; Internal medicine; Cancer; Cardiology; Biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007363326,0.0004481108,0.0002858667,0.0002931144,0.0004756029,0.0007623823,0.0009007764,0.0004631354,0.00008474224],"category_scores_gemma":[0.0004733722,0.0004750196,0.0004882689,0.00004889249,0.001186415,0.00004437992,0.0003529505,0.0002189297,0.00001686072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152908,"about_ca_system_score_gemma":0.001692339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394802,"about_ca_topic_score_gemma":0.000008451499,"domain_scores_codex":[0.9970422,0.00001651128,0.0003892546,0.001260462,0.0006798954,0.0006117147],"domain_scores_gemma":[0.9973104,0.00002342661,0.0003677529,0.001113389,0.0005045463,0.0006804976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001731239,0.0000278626,0.0001979119,0.0001491609,0.0002587797,0.00001140834,0.00005938452,0.000009951841,0.9556305,0.01460535,0.01257538,0.01630116],"study_design_scores_gemma":[0.0005956186,0.0001152029,0.0008018852,0.0001313126,0.0002549862,0.00001043214,0.00003886271,0.00006675044,0.03696947,0.008620045,0.9511521,0.001243327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06718414,0.001518627,0.0004831117,0.0003120805,0.003649963,0.003205453,0.000502991,0.0001227278,0.9230209],"genre_scores_gemma":[0.391281,0.00001400448,0.003851259,0.0005438585,0.002383615,0.0004117931,0.002116186,0.0003804204,0.5990179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9385767,"threshold_uncertainty_score":0.9997702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129229722111343,"score_gpt":0.252174311111709,"score_spread":0.2392513389005747,"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."}}