{"id":"W2959140111","doi":"10.1200/jco.2012.30.15_suppl.4633","title":"Use of miRNA profiling in metastatic renal cell carcinoma to reveal a tumor suppressor effect for mir-215.","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; University Health Network; Princess Margaret Cancer Centre; York University; Health Sciences Centre; Sunnybrook Health Science Centre; St. Michael's Hospital","funders":"","keywords":"microRNA; Renal cell carcinoma; Metastasis; Medicine; Gene expression profiling; Cancer research; Microarray; Microarray analysis techniques; Oncology; Kidney cancer; Cancer; Gene expression; Gene; Internal medicine; Biology; Genetics","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":[0.0002185213,0.0001973044,0.0003165694,0.0003419213,0.0002494971,0.0002338036,0.0001258884,0.000212734,0.0005532135],"category_scores_gemma":[0.0003498751,0.0001351505,0.0003100549,0.0002736922,0.0001306863,0.00007353873,0.0001452369,0.0002782076,0.0002873175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429709,"about_ca_system_score_gemma":0.0002429149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089473,"about_ca_topic_score_gemma":0.001675383,"domain_scores_codex":[0.9998299,0.00001594082,0.00001091195,0.00004403602,0.00007514763,0.00002409438],"domain_scores_gemma":[0.9998454,0.00003135579,0.0000302371,0.0000174144,0.00004603577,0.00002957781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002899902,0.00004892404,0.004891282,0.00004137239,0.00002180074,0.0001007333,0.00004605883,0.0001040115,0.9919813,0.00002292595,0.00005806096,0.002393723],"study_design_scores_gemma":[0.00004239097,0.001506674,0.1266308,0.00000876087,0.0001480557,0.002338178,0.0001150091,0.003886606,0.8620849,0.00006618865,0.003156971,0.00001551362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964532,0.0008600819,0.001625568,0.00003151625,0.00001671185,0.00004550657,0.000525001,0.00003119319,0.0004111906],"genre_scores_gemma":[0.9939422,0.0004871805,0.003637985,0.00004153158,0.000007392709,0.00005946362,0.001087926,0.00001318934,0.0007231879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089473,"threshold_uncertainty_score":0.002166212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117526246486027,"score_gpt":0.4475576906747265,"score_spread":0.3358050660261238,"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."}}