{"id":"W2120991684","doi":"10.1093/carcin/bgt184","title":"miR-192, miR-194 and miR-215: a convergent microRNA network suppressing tumor progression in renal cell carcinoma","year":2013,"lang":"en","type":"article","venue":"Carcinogenesis","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University Health Network; Princess Margaret Cancer Centre; St. Michael's Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Cancer research; Gene knockdown; Biology; Metastasis; Renal cell carcinoma; Gene silencing; Tumor progression; Clear cell renal cell carcinoma; Cancer; Cell growth; Cell; Cell culture; Pathology; Medicine; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001761757,0.0003396626,0.0002988911,0.00008775794,0.0001438145,0.00007390227,0.0002217694,0.0002179229,0.0001099294],"category_scores_gemma":[0.00002864725,0.0003328202,0.0001315404,0.0001774711,0.0001397995,0.00001626751,0.0002497855,0.0001042745,0.00002369042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005929329,"about_ca_system_score_gemma":0.0001361834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081037,"about_ca_topic_score_gemma":0.00004781659,"domain_scores_codex":[0.9978911,0.0001778218,0.0004303913,0.0007135119,0.0001942043,0.0005929466],"domain_scores_gemma":[0.998893,0.00001940106,0.0001907017,0.0005000398,0.0001292764,0.0002675554],"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":[0.00008286114,0.00007400991,0.1458815,0.0001078767,0.00001651413,0.00002034287,0.00006365839,0.00005445708,0.8469787,0.000001971279,0.005905816,0.0008123359],"study_design_scores_gemma":[0.0008517156,0.00008499266,0.3397664,0.00006040428,0.00003855743,0.00002954423,0.00004174883,0.0003294568,0.6552523,0.00002024799,0.003208442,0.0003161899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853989,0.01327403,0.00007955156,0.0001241314,0.0001924087,0.0007273749,0.00002263929,0.0000204833,0.0001604639],"genre_scores_gemma":[0.9972665,0.00005737685,0.001520601,0.00019982,0.0003279322,0.0001601688,0.000210194,0.00006223705,0.0001952175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1938849,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008546082136946385,"score_gpt":0.2262257049932357,"score_spread":0.2176796228562893,"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."}}