{"id":"W2113366916","doi":"10.1086/502110","title":"A Risk Index for Sternal Surgical Wound Infection After Cardiovascular Surgery","year":2003,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Surgical site infection prevention","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Canadian Standards Association; University of Calgary; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Odds ratio; Receiver operating characteristic; Logistic regression; Cardiac surgery; Intensive care unit; Odds; Risk factor; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001601492,0.0005132725,0.000366213,0.001361847,0.000218282,0.0005838154,0.0003407951,0.0004375352,0.001191357],"category_scores_gemma":[0.01583755,0.0001364172,0.0003748471,0.0006738745,0.0002070276,0.0004992901,0.0005060823,0.0006621034,0.0003219518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166014,"about_ca_system_score_gemma":0.0006982739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567817,"about_ca_topic_score_gemma":0.001465166,"domain_scores_codex":[0.9986846,0.0002996552,0.000178491,0.0001279563,0.0006180445,0.00009132833],"domain_scores_gemma":[0.9898734,0.003075697,0.004264735,0.0003897148,0.001708245,0.000688225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001240854,0.0000466282,0.9920398,0.00001364138,0.00003789129,0.00003267807,0.00002219568,0.0003366939,0.000232754,0.00003853375,0.0003030053,0.006772097],"study_design_scores_gemma":[0.0000241604,0.0002942624,0.9905983,0.00001795959,0.00005577016,0.000775091,0.00004510822,0.007089681,0.000351696,0.0001426479,0.0005919869,0.00001336143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908634,0.0005227997,0.005261358,0.0002819698,0.00003992354,0.0001164291,0.0007147413,0.00009901972,0.002100417],"genre_scores_gemma":[0.9932727,0.00009258768,0.005350455,0.0000402317,0.00005900022,0.0000660182,0.0008438292,0.000007549629,0.0002677116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601492,"threshold_uncertainty_score":0.008469582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785892057119904,"score_gpt":0.2855223115922623,"score_spread":0.2676633910210633,"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."}}