{"id":"W1493616363","doi":"10.1002/cncr.28027","title":"Health care‐associated infections after major cancer surgery","year":2013,"lang":"en","type":"article","venue":"Cancer","topic":"Surgical site infection prevention","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Odds ratio; Confidence interval; Incidence (geometry); Comorbidity; Internal medicine; Odds; Logistic regression","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":[0.0005637871,0.0002420078,0.0002554423,0.0005542796,0.0003034055,0.0005536239,0.0002991919,0.0002078972,0.002846704],"category_scores_gemma":[0.004116842,0.0001105034,0.0005726448,0.0008238432,0.0002178392,0.0002875183,0.0007160518,0.0006088896,0.0002105971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006587511,"about_ca_system_score_gemma":0.001238588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009148812,"about_ca_topic_score_gemma":0.01062724,"domain_scores_codex":[0.9993784,0.0001341586,0.00008596253,0.00007378637,0.0001749043,0.0001526735],"domain_scores_gemma":[0.9961313,0.0005301585,0.002564681,0.00008155159,0.0003463344,0.0003458172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005074759,0.00005108672,0.9864482,0.000181422,0.0001596922,0.0002028295,0.00006407227,0.0001826799,0.0001127903,0.00007971421,0.001564658,0.01090204],"study_design_scores_gemma":[0.000008968185,0.0001067921,0.9961365,0.0001933561,0.00006343057,0.0008793124,0.0002608823,0.0004702322,0.0001094104,0.0001503088,0.001614575,0.000006223821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980104,0.008909651,0.0007930824,0.001564064,0.0001384308,0.0001155552,0.003104343,0.00005822999,0.00521257],"genre_scores_gemma":[0.9948623,0.002716981,0.0002664411,0.0003500168,0.00008630629,0.00002577703,0.001325921,0.000004058531,0.0003621755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009148812,"threshold_uncertainty_score":0.0181911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150151426119185,"score_gpt":0.3203955987058758,"score_spread":0.3053804560939573,"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."}}