{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480456,0.0002282974,0.0002900187,0.0003382691,0.0002022038,0.0002756405,0.0001497888,0.0001712757,0.000526384],"category_scores_gemma":[0.0001763965,0.0001188298,0.0002168306,0.0001645456,0.0001814617,0.0001576893,0.0002536253,0.0002127252,0.0002520877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903654,"about_ca_system_score_gemma":0.0002656648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003336164,"about_ca_topic_score_gemma":0.0003821121,"domain_scores_codex":[0.9998835,0.00001486955,0.000009769963,0.00002822071,0.00004523051,0.00001843744],"domain_scores_gemma":[0.9999243,0.000008179387,0.00003001713,0.000005191782,0.00001093672,0.00002134748],"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":[0.0003217349,0.00003937239,0.003835817,0.00008509701,0.0000183722,0.000243996,0.00003574113,0.0002024855,0.989333,0.000242239,0.00007734424,0.005564759],"study_design_scores_gemma":[0.00006683419,0.0005826833,0.09298101,0.00002173036,0.0001377654,0.003822244,0.0001083743,0.005411427,0.8899061,0.000368098,0.006569406,0.00002434847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927168,0.0028769,0.002623536,0.00006457685,0.00001932738,0.00003432386,0.000167575,0.00005374168,0.001443334],"genre_scores_gemma":[0.9953997,0.0006365707,0.002763464,0.00004300712,0.000009089161,0.00003032533,0.0002143515,0.000006743156,0.0008968101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000526384,"threshold_uncertainty_score":0.002106726,"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."}}