{"id":"W2018870209","doi":"10.5489/cuaj.1899","title":"Handling patients with growing small renal masses","year":2014,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renal mass; Medicine; Intensive care medicine; Urology; Internal medicine; Kidney; Nephrectomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009056972,0.0003928525,0.0006449156,0.001133544,0.001063864,0.001570761,0.0008411254,0.0009219614,0.001708406],"category_scores_gemma":[0.005397377,0.0002855645,0.0004825194,0.001197342,0.0004398113,0.001219729,0.0008272893,0.001048057,0.0006923309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074729,"about_ca_system_score_gemma":0.0008566378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007260035,"about_ca_topic_score_gemma":0.009272304,"domain_scores_codex":[0.9993939,0.0001141235,0.00009159765,0.0001254903,0.0001417597,0.0001330485],"domain_scores_gemma":[0.997877,0.0006286856,0.0005869587,0.0001501804,0.0003067595,0.0004504684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002112419,0.00008848822,0.9415303,0.0001160686,0.00002617232,0.0250767,0.001490223,0.0002430174,0.001319098,0.0001507071,0.003011531,0.02673641],"study_design_scores_gemma":[0.00007736291,0.0006498341,0.8222096,0.0003995486,0.0001523387,0.1312378,0.0127667,0.003408352,0.003652515,0.002002276,0.02331242,0.0001314824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988277,0.003028601,0.001829685,0.003008027,0.0002156753,0.0001706998,0.0004525945,0.00005614644,0.002961535],"genre_scores_gemma":[0.9923906,0.001524423,0.003345554,0.001136842,0.0004255486,0.00004976252,0.0004615711,0.00002484193,0.0006409242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007260035,"threshold_uncertainty_score":0.01443553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003516563201890012,"score_gpt":0.1647024902805999,"score_spread":0.1611859270787099,"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."}}