{"id":"W2107781148","doi":"10.1002/dmrr.1054","title":"miR133a regulates cardiomyocyte hypertrophy in diabetes","year":2009,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Diabetic cardiomyopathy; Internal medicine; MEF2C; Muscle hypertrophy; Diabetes mellitus; Endocrinology; microRNA; Heart failure; Gene expression; Hypertrophic cardiomyopathy; Fibrosis; Medicine; Downregulation and upregulation; Cardiomyopathy; Biology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002767213,0.0003024131,0.001399303,0.0007145883,0.0001764682,0.0000866347,0.0001518365,0.0001874866,0.00009266051],"category_scores_gemma":[0.0006237591,0.0002036263,0.0005212234,0.001243357,0.000261386,0.0001573757,0.00007816644,0.0007655593,0.0002047886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005961945,"about_ca_system_score_gemma":0.00006464056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002139669,"about_ca_topic_score_gemma":0.000002062118,"domain_scores_codex":[0.9965635,0.0005716112,0.0005548848,0.0006064837,0.0007137855,0.0009897455],"domain_scores_gemma":[0.998352,0.0001232905,0.00006085353,0.0007422526,0.0002186653,0.0005029312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001571861,0.0005676954,0.2425973,0.0008143028,0.0003627768,0.00009533534,0.0003003616,0.000003975877,0.1097889,0.0005432612,0.01971802,0.6250509],"study_design_scores_gemma":[0.001785521,0.0003299928,0.4646752,0.0004437211,0.0001150888,0.00001028868,0.00005570311,0.00008401851,0.01519224,0.000468592,0.5165485,0.0002911692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.790134,0.2058737,0.000001734664,0.001087632,0.0001920584,0.001005147,0.000005060391,0.0000405599,0.001660222],"genre_scores_gemma":[0.92111,0.07506932,0.0002932019,0.0008728497,0.0007046103,0.0001103867,0.00004563069,0.0000338981,0.001760134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6247597,"threshold_uncertainty_score":0.8303638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432314321908017,"score_gpt":0.3249359886541294,"score_spread":0.2806128454350493,"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."}}