{"id":"W2252779129","doi":"10.5489/cuaj.2848","title":"Clinical outcomes following laparoscopic management of pT3 renal masses: A large, multi-institutional cohort","year":2015,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa; McGill University; University of Calgary; University of Toronto; Dalhousie University; McMaster University; Cancer Care Ontario; Ottawa Hospital; University of Manitoba","funders":"Astellas Pharma; Canadian Urological Association; Pfizer; Amgen","keywords":"Medicine; Renal cell carcinoma; Cohort; Nephrectomy; Pathological; Stage (stratigraphy); Surgery; Progression-free survival; Retrospective cohort study; Median follow-up; Urology; Internal medicine; Kidney; Overall survival","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0005968841,0.0001832975,0.0002583158,0.0008030552,0.0006824021,0.0007155403,0.000348602,0.0002508926,0.001314991],"category_scores_gemma":[0.001682774,0.0001443061,0.0003302868,0.001397319,0.0003765036,0.000541687,0.0005948971,0.0003498691,0.0001824478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047863,"about_ca_system_score_gemma":0.001114061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01537106,"about_ca_topic_score_gemma":0.02491987,"domain_scores_codex":[0.9995128,0.00006602835,0.00004756615,0.0001226174,0.0001247069,0.0001262735],"domain_scores_gemma":[0.9985916,0.0001417558,0.0008100737,0.00008500173,0.0001360498,0.0002355276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004347432,0.00001216221,0.9982141,0.000007376055,0.00001612811,0.0001512437,0.00008876046,0.00002841899,0.0001160299,0.000008617949,0.0001102553,0.001203404],"study_design_scores_gemma":[0.000005427109,0.00006277591,0.9981722,0.000008278762,0.00001316549,0.0009093905,0.0002556251,0.00008106672,0.0000608166,0.00001621289,0.0004097584,0.000005299353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989046,0.000195116,0.00007705784,0.00004243312,0.00000260871,0.00001395225,0.0005062353,0.000003106275,0.0002549],"genre_scores_gemma":[0.9991178,0.0001242038,0.00007407823,0.00002993539,0.000009393824,0.00001132008,0.000562275,0.000002199475,0.00006877064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01537106,"threshold_uncertainty_score":0.03056318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0555332816468834,"score_gpt":0.3242875494730252,"score_spread":0.2687542678261418,"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."}}