{"id":"W4243504517","doi":"10.1200/jco.2012.30.5_suppl.353","title":"A multicentered population-based analysis of outcomes of patients with metastatic renal cell carcinoma (mRCC) who do not meet eligibility criteria for clinical trials.","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Internal medicine; Hazard ratio; Clinical trial; Renal cell carcinoma; Population; Inclusion and exclusion criteria; Surgery; Gastroenterology; Oncology; Confidence interval; Pathology","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":[0.005950519,0.000394913,0.001052622,0.0009328404,0.0004508421,0.001181208,0.0004796846,0.0007834738,0.001690573],"category_scores_gemma":[0.01071846,0.0003237598,0.001311677,0.001648501,0.0004301079,0.0006965728,0.0006991755,0.0006583096,0.0003339597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006577781,"about_ca_system_score_gemma":0.0007503851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387289,"about_ca_topic_score_gemma":0.001327962,"domain_scores_codex":[0.9959848,0.002038739,0.0005160439,0.0008309958,0.0003988774,0.0002305524],"domain_scores_gemma":[0.9893571,0.002291858,0.005737694,0.001011895,0.0004826978,0.001118799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01418879,0.0002635073,0.9785644,0.0001010577,0.001535116,0.0001624848,0.0001156269,0.0002357039,0.0005202625,0.00007275082,0.0008104092,0.003429988],"study_design_scores_gemma":[0.002021895,0.002645339,0.9913073,0.00002078051,0.000839651,0.0006125863,0.0001263098,0.000974757,0.0001792541,0.00008447299,0.001164936,0.00002262442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965749,0.0006699414,0.0003032949,0.00009064643,0.00001553227,0.0001675086,0.001764656,0.00001012484,0.000403495],"genre_scores_gemma":[0.9976192,0.00006250738,0.0002350024,0.00007390675,0.00003832484,0.0001900402,0.001680414,0.000004594039,0.0000959582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005950519,"threshold_uncertainty_score":0.03146976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.311672621596038,"score_gpt":0.5496005379976042,"score_spread":0.2379279164015662,"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."}}