{"id":"W3106863932","doi":"10.21037/tau-20-930","title":"Value of preoperative urine white blood cell and nitrite in predicting postoperative infection following percutaneous nephrolithotomy: a meta-analysis","year":2021,"lang":"en","type":"article","venue":"Translational Andrology and Urology","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Percutaneous nephrolithotomy; Meta-analysis; Cochrane Library; Odds ratio; Urine; White blood cell; Nephrostomy; MEDLINE; Confidence interval; Internal medicine; Surgery; Percutaneous","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01656123,0.002657117,0.01439541,0.00584018,0.0008120423,0.003697194,0.002450512,0.003035902,0.002971314],"category_scores_gemma":[0.03787725,0.001325673,0.0492964,0.006318133,0.0008727359,0.001895411,0.001508244,0.002259593,0.0002785316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386303,"about_ca_system_score_gemma":0.002986927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00538118,"about_ca_topic_score_gemma":0.00780116,"domain_scores_codex":[0.9897547,0.004656852,0.002813528,0.001369285,0.0009816468,0.0004238601],"domain_scores_gemma":[0.9607093,0.0313168,0.004413965,0.0012905,0.001781403,0.000488064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004568561,0.00006522951,0.02669652,0.1345264,0.8258298,0.0001695213,0.00009122038,0.000503438,0.0001724558,0.00009005734,0.0002858986,0.007001034],"study_design_scores_gemma":[0.0003616583,0.0002391433,0.007521205,0.005920598,0.9849577,0.00007612656,0.00003401352,0.0002113075,0.00006269972,0.0001300516,0.0004683467,0.0000172174],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02000768,0.9775644,0.0008174615,0.0003295079,0.0002424181,0.0002154115,0.0005050919,0.00002940584,0.000288691],"genre_scores_gemma":[0.5534235,0.438558,0.002851423,0.001352484,0.0007264088,0.001235394,0.001266629,0.0000595369,0.0005265889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9856046,"threshold_uncertainty_score":0.08758515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763358240765766,"score_gpt":0.2691921879779384,"score_spread":0.2515586055702808,"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."}}