{"id":"W4392807493","doi":"10.1016/j.urolonc.2024.01.287","title":"PROPENSITY-MATCHED ANALYSIS OF OPEN VERSUS ROBOTIC PRIMARY RETROPERITONEAL LYMPH NODE DISSECTION FOR CS II TESTICULAR CANCER","year":2024,"lang":"en","type":"article","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Retroperitoneal lymph node dissection; Lymph node; Dissection (medical); Medicine; Testicular cancer; Propensity score matching; Surgery; Cancer; Radiology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001917642,0.000323832,0.0009128868,0.0002894163,0.0002344716,0.0007660482,0.0006553208,0.0004145298,0.003003766],"category_scores_gemma":[0.005361043,0.0003469568,0.002088764,0.000538609,0.00039771,0.0005766304,0.0004613608,0.0006223654,0.0002943806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476346,"about_ca_system_score_gemma":0.0005835554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009558175,"about_ca_topic_score_gemma":0.001907353,"domain_scores_codex":[0.9980785,0.000739104,0.0002237043,0.0005305032,0.0002012278,0.0002270064],"domain_scores_gemma":[0.9976986,0.000943051,0.0005732087,0.00051729,0.0001018172,0.0001660021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2839586,0.00126658,0.5932444,0.0009823296,0.0161093,0.0006370257,0.0005304957,0.007397014,0.01090741,0.001724217,0.003484129,0.07975859],"study_design_scores_gemma":[0.012779,0.02605032,0.9096891,0.0001385502,0.009920056,0.001028326,0.000825032,0.02787942,0.002596082,0.003859705,0.005101759,0.0001326578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961743,0.0006900008,0.001873636,0.00003957356,0.00009877208,0.0000970824,0.0004068914,0.00001152164,0.0006081586],"genre_scores_gemma":[0.9988002,0.0001030084,0.0004073213,0.00004782141,0.00003895461,0.00004153877,0.000312263,0.000005279168,0.0002435887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003003766,"threshold_uncertainty_score":0.01014161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819044358936207,"score_gpt":0.3674590041577105,"score_spread":0.3092685605683485,"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."}}