{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009095358,0.0001012447,0.0001255646,0.00001210777,0.00004569853,0.00001812622,0.00003146207,0.0001411382,0.00001538167],"category_scores_gemma":[0.00008160915,0.00009998055,0.00006401958,0.00004677039,0.00003365375,0.000002778318,0.00006563429,0.00005967938,0.000004555781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009176592,"about_ca_system_score_gemma":0.00007911729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005872424,"about_ca_topic_score_gemma":0.000004212292,"domain_scores_codex":[0.9991826,0.00002838391,0.0002055376,0.0003548872,0.0001003597,0.0001282315],"domain_scores_gemma":[0.9994963,0.000005151907,0.0001256436,0.0002145977,0.00004180651,0.0001164478],"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":[0.00005084961,0.000009981434,0.002147259,0.00001523782,0.00001633123,0.00003843009,0.00004212292,0.0001472791,0.9903821,0.000002607144,0.003651434,0.003496349],"study_design_scores_gemma":[0.0004167253,0.0001818428,0.00293076,0.000006923888,0.00001949821,0.00009163282,0.00001205587,0.00008419821,0.7956844,0.00004239851,0.2003798,0.0001497101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992865,0.001996465,0.0006118446,0.0004830536,0.0002377897,0.0002569744,0.000004086155,0.00002004275,0.003524709],"genre_scores_gemma":[0.9984393,0.0001439299,0.0001209758,0.0002674271,0.0004722725,0.00001031548,0.00009726548,0.0000171482,0.0004314426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1967284,"threshold_uncertainty_score":0.4077089,"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."}}