{"id":"W2980206217","doi":"10.3332/ecancer.2019.967","title":"Complete metastasectomy in renal cell carcinoma: a propensity-score matched by the International Metastatic RCC Database Consortium prognostic model","year":2019,"lang":"en","type":"article","venue":"ecancermedicalscience","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Metastasectomy; Medicine; Propensity score matching; Renal cell carcinoma; Hazard ratio; Proportional hazards model; Internal medicine; Overall survival; Database; Urology; Oncology; Surgery; Cancer; Metastasis","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":[0.0009977103,0.0002912844,0.0005477472,0.0001467864,0.00009603349,0.00006155229,0.0006820257,0.00004417053,0.0006773163],"category_scores_gemma":[0.0002359408,0.0001803628,0.0001058145,0.0005356362,0.0006042605,0.0002190107,0.00028346,0.000464464,0.0001736106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003960263,"about_ca_system_score_gemma":0.001043441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003473305,"about_ca_topic_score_gemma":0.0000949504,"domain_scores_codex":[0.9964756,0.0001244121,0.000547074,0.0007787653,0.001487119,0.0005870633],"domain_scores_gemma":[0.9983433,0.0002741425,0.000209753,0.0007059423,0.0001404904,0.000326297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001086935,0.002069273,0.4304066,0.0006842017,0.0001807334,0.001486681,0.001705611,0.002118689,0.536473,0.0006296876,0.02124682,0.001911825],"study_design_scores_gemma":[0.02702194,0.00220995,0.2620148,0.001177668,0.001140441,0.001247904,0.001095848,0.5889091,0.1010149,0.0007259055,0.01170472,0.001736814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989759,0.0006565027,0.00121294,0.002757965,0.0003066448,0.001757163,0.0002363205,0.00003585141,0.00327756],"genre_scores_gemma":[0.9948875,0.00003109834,0.001666909,0.001393468,0.00005230792,0.0002188042,0.0002089515,0.00002429035,0.00151662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5867904,"threshold_uncertainty_score":0.7416138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060141613274272,"score_gpt":0.2803254162679474,"score_spread":0.2201838029936754,"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."}}