{"id":"W2606890210","doi":"10.1002/cam4.1048","title":"Characterizing the outcomes of metastatic papillary renal cell carcinoma","year":2017,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Queen's University; London Health Sciences Centre; Princess Margaret Cancer Centre; Sunnybrook Health Science Centre; University of Calgary","funders":"National Center for Advancing Translational Sciences","keywords":"Renal cell carcinoma; Medicine; Papillary renal cell carcinomas; Papillary carcinoma; Clear cell renal cell carcinoma; Oncology; Carcinoma; Clear cell; Internal medicine; Urology; Pathology; Thyroid carcinoma; Thyroid","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":[0.0003024597,0.0002304056,0.0006981819,0.00007390974,0.0002224644,0.00001157326,0.0003049821,0.00004067498,0.0004929762],"category_scores_gemma":[0.0001505239,0.0001150506,0.0001390951,0.00006357822,0.0004822152,0.00007449302,0.00008650785,0.0001971167,0.00001383791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126423,"about_ca_system_score_gemma":0.0001582807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009423358,"about_ca_topic_score_gemma":0.00002422048,"domain_scores_codex":[0.9985277,0.00004674167,0.0004056538,0.0002642871,0.0004780544,0.0002775749],"domain_scores_gemma":[0.9979517,0.0001255762,0.0004474586,0.001166993,0.0001376655,0.0001705824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003564802,0.0001847423,0.6144463,0.0006258667,0.0005708976,0.0006286922,0.002621153,0.000001610298,0.3587965,0.0001256006,0.004090982,0.01755117],"study_design_scores_gemma":[0.002735205,0.0005848327,0.8797365,0.0002177525,0.0009189456,0.00004731503,0.0002877653,0.00002120463,0.1105487,0.00003576667,0.004762797,0.000103211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634652,0.006361664,0.00001364135,0.01746359,0.00048135,0.0004855787,0.00001513958,0.00001795241,0.01169594],"genre_scores_gemma":[0.9944782,0.0004571261,0.0001035765,0.001312675,0.0004033442,0.00007090616,0.00001728486,0.00003024739,0.003126616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2652901,"threshold_uncertainty_score":0.5397743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05974032778386951,"score_gpt":0.3251533875363509,"score_spread":0.2654130597524814,"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."}}