{"id":"W2088468324","doi":"10.5489/cuaj.10060","title":"Tumour location as a predictor of benign disease in the management of renal masses","year":2010,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Odds ratio; Renal cell carcinoma; Logistic regression; Univariate analysis; Surgical pathology; Renal sinus; Disease; Radiology; Pathology; Internal medicine; Nephrectomy; Surgery; Kidney; Multivariate analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008921271,0.0001856073,0.0002768481,0.0006919035,0.0002711727,0.0003917521,0.0002937543,0.0003601524,0.001773744],"category_scores_gemma":[0.009109406,0.0001342669,0.0002015085,0.0007109461,0.0004641086,0.0003336981,0.0003540638,0.0004388817,0.0001500532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003701487,"about_ca_system_score_gemma":0.0008107646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003036547,"about_ca_topic_score_gemma":0.005677761,"domain_scores_codex":[0.9991533,0.0003307934,0.00009300031,0.0000682023,0.0002657586,0.00008898609],"domain_scores_gemma":[0.9929068,0.002928763,0.003072875,0.0001143664,0.0004380437,0.0005391391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001012664,0.00001365359,0.9974885,0.0000101302,0.00001108698,0.0001755525,0.00001685157,0.00007158266,0.0001431295,0.000008129868,0.0000306814,0.001929326],"study_design_scores_gemma":[0.000008810266,0.0001633222,0.9962822,0.0000188204,0.00003876048,0.002313612,0.0001303505,0.0005893165,0.0001991611,0.0000317748,0.0002192946,0.000004707223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997614,0.001328986,0.0001773355,0.0001763622,0.00001173725,0.000007717962,0.00005392173,0.000003178708,0.0006266556],"genre_scores_gemma":[0.9995574,0.0001854189,0.0001344107,0.00001151513,0.00002295899,0.000002333196,0.00003107257,0.000001075998,0.00005377468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003036547,"threshold_uncertainty_score":0.006037772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151737567092377,"score_gpt":0.2277054338735241,"score_spread":0.2161880582026004,"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."}}