{"id":"W3034006549","doi":"10.1016/j.celrep.2020.107739","title":"PRMT1-p53 Pathway Controls Epicardial EMT and Invasion","year":2020,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Dental and Craniofacial Research; National Heart, Lung, and Blood Institute; National Institutes of Health; Rose Hills Foundation; Stop Cancer; University of Southern California; American Heart Association","keywords":"Epithelial–mesenchymal transition; Biology; Cell biology; Myofibroblast; Extracellular matrix; Motility; Progenitor cell; Stem cell; Cancer research; Gene; Internal medicine; Transition (genetics); Genetics; Medicine","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":[0.00008983957,0.0002548528,0.0001693746,0.0002522081,0.0002249009,0.0003269297,0.0001568147,0.0002665439,0.001067938],"category_scores_gemma":[0.0001242956,0.0001462373,0.0001780785,0.0001085836,0.000237667,0.0002488488,0.0002899327,0.0003801918,0.0004317671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732193,"about_ca_system_score_gemma":0.0002009618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000490936,"about_ca_topic_score_gemma":0.0006955896,"domain_scores_codex":[0.9998897,0.00001460897,0.000006252743,0.00003136908,0.00002226732,0.00003580559],"domain_scores_gemma":[0.9999167,0.000008784662,0.0000286151,0.000008639714,0.00001016091,0.00002720844],"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":[0.00006011104,0.000007855206,0.0005525924,0.0000203094,0.000002126432,0.00008522222,0.00001228872,0.00007002904,0.9976733,0.0002079805,0.00004071197,0.001267488],"study_design_scores_gemma":[0.00001513461,0.00007765185,0.02481593,0.000008267009,0.0000124168,0.0004021564,0.00004590106,0.00281376,0.96865,0.0002413694,0.00291127,0.000006074245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898641,0.002407383,0.005016544,0.0001423297,0.00002929405,0.00001333273,0.0003860094,0.000188316,0.001952758],"genre_scores_gemma":[0.996935,0.0005424544,0.0006340709,0.00002381348,0.000003258847,0.000007368859,0.0002141479,0.00001503976,0.00162491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001067938,"threshold_uncertainty_score":0.003572583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139650054719012,"score_gpt":0.2034907850116626,"score_spread":0.1953511349569436,"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."}}