{"id":"W2073078807","doi":"10.1016/j.yjmcc.2013.08.007","title":"Role of miR-145 in cardiac myofibroblast differentiation","year":2013,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Myofibroblast; Transdifferentiation; Actin; Cell biology; Myosin; Fibroblast; Myocardin; Wound healing; Stress fiber; Chemistry; Cytoskeleton; Actin cytoskeleton; Contraction (grammar); Molecular biology; In vitro; Biology; Cell; Pathology; Serum response factor; Gene expression; Immunology; Focal adhesion; Medicine; Signal transduction; Endocrinology; Fibrosis; Stem cell; Gene; Biochemistry","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":[0.0003603277,0.00008893267,0.0004114121,0.000119962,0.00002151865,0.00001278616,0.0001554618,0.0001158818,0.00004474855],"category_scores_gemma":[0.00002348926,0.00007286436,0.0001387376,0.0001256262,0.0001369198,0.00006515373,0.00004926659,0.0001195817,0.00001036126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002573149,"about_ca_system_score_gemma":0.0000348014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000270588,"about_ca_topic_score_gemma":7.403198e-7,"domain_scores_codex":[0.9988767,0.0002032049,0.0004260617,0.0001276484,0.0001872395,0.0001791327],"domain_scores_gemma":[0.9993668,0.00005249354,0.0002334641,0.0001454763,0.0001224426,0.00007929783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001033661,0.00001936052,0.002101552,0.00001197886,0.00002701297,0.000006087,0.00005161637,0.00001591335,0.9963687,0.0004796268,0.00009348603,0.0008143182],"study_design_scores_gemma":[0.000280342,0.0001496862,0.00950872,0.00001747318,0.00003801972,0.0000409327,0.00009029949,0.00002260464,0.9841775,0.005266458,0.0003336157,0.00007440348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853086,0.002601341,0.01142789,0.0001514758,0.0001110766,0.0001220332,0.000003488057,0.000003829779,0.0002702905],"genre_scores_gemma":[0.9974527,0.00009277916,0.002330382,0.00002806261,0.00006615622,0.000009616212,0.00000388066,0.000007975415,0.000008462891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219127,"threshold_uncertainty_score":0.2971322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002815861433305024,"score_gpt":0.1900189544624542,"score_spread":0.1872030930291492,"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."}}