{"id":"W2036634141","doi":"10.1136/jclinpath-2012-200918","title":"Low predictive value of positive transplant perfusion fluid cultures for diagnosing postoperative infections in kidney and kidney–pancreas transplantation","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Pathology","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Kidney; Kidney transplantation; Transplantation; Perfusion; Pancreas; Pancreas transplantation; Machine perfusion; Predictive value; Pathology; Urology; Internal medicine; Liver transplantation","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":[0.002290748,0.0005513545,0.0004558355,0.001887708,0.0004545499,0.001410635,0.0008410857,0.001139539,0.002246435],"category_scores_gemma":[0.02634344,0.0003760259,0.0005445599,0.001171388,0.000841165,0.0009521981,0.0006876873,0.001519545,0.0004038088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154379,"about_ca_system_score_gemma":0.0006572044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517602,"about_ca_topic_score_gemma":0.001356941,"domain_scores_codex":[0.9978789,0.0005990251,0.0004379697,0.0002333549,0.0005620136,0.000288645],"domain_scores_gemma":[0.9731731,0.0144667,0.007842144,0.0007275606,0.001535191,0.002255352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001612597,0.00001416505,0.9978529,0.00001274576,0.00001078124,0.0002275715,0.0000186022,0.00008528015,0.0002364621,0.00001032186,0.00005759739,0.001312364],"study_design_scores_gemma":[0.00001689788,0.0002840596,0.9909291,0.00006650371,0.00008801089,0.003977611,0.0003253626,0.002934932,0.0009956164,0.0001084688,0.0002568525,0.00001675316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971309,0.001470304,0.0003893079,0.0001407054,0.00005522625,0.00001104264,0.0001316182,0.00001582147,0.0006551147],"genre_scores_gemma":[0.9994218,0.000179544,0.0001981697,0.00002557462,0.00004308062,0.000005031653,0.00009668111,0.000002548343,0.00002758088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002290748,"threshold_uncertainty_score":0.01211482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205145405935847,"score_gpt":0.3728532889924672,"score_spread":0.3523387483988825,"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."}}