{"id":"W2519353447","doi":"10.1016/j.ejso.2016.08.023","title":"Mortality, morbidity and healthcare expenditures after local tumour ablation or partial nephrectomy for T1A kidney cancer","year":2016,"lang":"en","type":"article","venue":"European Journal of Surgical Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Université de Montréal","funders":"","keywords":"Medicine; Perioperative; Nephrectomy; Propensity score matching; Mortality rate; Complication; Population; Renal cell carcinoma; Bladder cancer; Surgery; Sepsis; Cancer; Internal medicine; Kidney","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":[0.000334212,0.0002163662,0.0003704429,0.0004957013,0.0003909149,0.0007156596,0.0003570693,0.0006536395,0.002653678],"category_scores_gemma":[0.002426991,0.0002112253,0.001766187,0.0008496565,0.0002477563,0.0007444609,0.000619131,0.001160399,0.0001944832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223379,"about_ca_system_score_gemma":0.0008957637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079209,"about_ca_topic_score_gemma":0.01695479,"domain_scores_codex":[0.9995514,0.00008657062,0.00005066986,0.00006624863,0.00006098444,0.0001841794],"domain_scores_gemma":[0.9987488,0.0002920262,0.0004851193,0.00004361512,0.00007442539,0.0003559472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001864925,0.0001707593,0.9923821,0.00006166077,0.0004249821,0.0002037533,0.00005175159,0.0008129611,0.0001790739,0.00009194064,0.0005589359,0.003197136],"study_design_scores_gemma":[0.00001455655,0.0001623306,0.9988644,0.000007997199,0.00009020992,0.0001243772,0.0001416005,0.0003174481,0.00002896875,0.00008469565,0.0001565621,0.000006900015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973399,0.0007922302,0.0000382838,0.0002493172,0.00001995634,0.000003893208,0.0009520989,0.00000308105,0.0006011884],"genre_scores_gemma":[0.997807,0.0002967352,0.00002226875,0.00005352505,0.00003991267,0.000005309542,0.001510101,0.000001731237,0.0002633558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079209,"threshold_uncertainty_score":0.02145857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06972516187661218,"score_gpt":0.3610926508712469,"score_spread":0.2913674889946347,"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."}}