{"id":"W3033155113","doi":"10.1161/circresaha.120.317053","title":"microRNA-128","year":2020,"lang":"en","type":"letter","venue":"Circulation Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"microRNA; Biology; Computational biology; Medicine; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00216697,0.0009441319,0.0009987121,0.0005355982,0.002390467,0.002746905,0.0007475569,0.01753265,0.01606235],"category_scores_gemma":[0.008786755,0.0005113695,0.001130715,0.0002356866,0.001448778,0.001048269,0.001446633,0.01497334,0.01177358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002843741,"about_ca_system_score_gemma":0.002150016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729121,"about_ca_topic_score_gemma":0.003849126,"domain_scores_codex":[0.9981074,0.0004864676,0.0001469659,0.0002649574,0.0007316278,0.0002625069],"domain_scores_gemma":[0.9984142,0.0007903213,0.00008881737,0.00009963394,0.0002312918,0.0003758708],"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":[0.000380491,0.00007582198,0.00054487,0.0001054661,0.00003482953,0.002583301,0.00006400489,0.00009973676,0.003786827,0.01590792,0.9318628,0.04455401],"study_design_scores_gemma":[0.000242371,0.0001848405,0.0005743043,0.00009629301,0.00002949351,0.001856268,0.00004630246,0.000455105,0.002536333,0.01101395,0.982938,0.00002676162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00230091,0.01157991,0.002029578,0.7633247,0.1407325,0.0001743667,0.000367263,0.0003211329,0.07916961],"genre_scores_gemma":[0.02317399,0.004755002,0.001963762,0.7426664,0.06290044,0.0004754603,0.0004002681,0.0001177437,0.1635469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01753265,"threshold_uncertainty_score":0.05373389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06654569872270584,"score_gpt":0.3465852063699271,"score_spread":0.2800395076472212,"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."}}