{"id":"W3004436801","doi":"10.1016/j.euo.2020.01.001","title":"Synchronous Versus Metachronous Metastatic Disease: Impact of Time to Metastasis on Patient Outcome—Results from the International Metastatic Renal Cell Carcinoma Database Consortium","year":2020,"lang":"en","type":"article","venue":"European Urology Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baker Hughes (Canada); Ottawa Hospital; BC Cancer Agency; Princess Margaret Cancer Centre","funders":"Ipsen Biopharmaceuticals; Sanofi; Health Research Fund of Central Denmark Region; AstraZeneca; National Health and Medical Research Council; Amgen; Pfizer; Health Research Foundation; Roche","keywords":"Medicine; Renal cell carcinoma; Metastasis; Oncology; Disease; Internal medicine; Outcome (game theory); Cancer","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006090228,0.0005352141,0.001117258,0.0001871098,0.000106641,0.00002145609,0.0006342843,0.00004034011,0.001939175],"category_scores_gemma":[0.001318421,0.0003546763,0.0005601142,0.0002758784,0.0003084538,0.00007104636,0.0003835447,0.0005194759,0.002931193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005104627,"about_ca_system_score_gemma":0.0006997708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002971155,"about_ca_topic_score_gemma":0.00002275904,"domain_scores_codex":[0.9948356,0.00182737,0.001231313,0.0009873477,0.0005582444,0.000560124],"domain_scores_gemma":[0.9950344,0.002286856,0.0006397001,0.001017411,0.0001922812,0.000829339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4242077,0.01733694,0.02916245,0.0003196897,0.03011595,0.1015915,0.01381264,0.04852098,0.08714687,0.0002103525,0.1910886,0.05648632],"study_design_scores_gemma":[0.1075228,0.191429,0.4478712,0.00008650112,0.03685806,0.0008323486,0.0009645729,0.01097806,0.01807394,0.00003075547,0.1828475,0.002505196],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717702,0.000738097,0.000256253,0.009265092,0.0004028995,0.001278509,0.003902281,0.00007235596,0.01231429],"genre_scores_gemma":[0.990572,0.00001900856,0.002328877,0.005037199,0.0002235829,0.0000371443,0.00155585,0.00008785605,0.0001385088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4187087,"threshold_uncertainty_score":0.9998905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05860378922905161,"score_gpt":0.3120376677610792,"score_spread":0.2534338785320276,"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."}}