{"id":"W2037757276","doi":"10.1016/j.suronc.2011.02.002","title":"Quality improvement in surgical oncology – Measuring and improving clinical outcomes","year":2011,"lang":"en","type":"article","venue":"Surgical Oncology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto; McMaster University; Hamilton Health Sciences; Juravinski Cancer Centre","funders":"Canadian Institutes of Health Research","keywords":"Operationalization; Quality management; Psychological intervention; Quality (philosophy); Process management; Medicine; Process (computing); Set (abstract data type); Medical physics; Computer science; Operations management; Nursing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01683975,0.0004168862,0.0005063651,0.003758326,0.0006767968,0.002040178,0.0007844578,0.0007199328,0.001217616],"category_scores_gemma":[0.04626016,0.0001783629,0.000517075,0.006131789,0.0008921837,0.002723964,0.00154324,0.001304515,0.0001932603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003604351,"about_ca_system_score_gemma":0.006858102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009858752,"about_ca_topic_score_gemma":0.0116753,"domain_scores_codex":[0.9825896,0.01065175,0.001678259,0.0005456688,0.003887319,0.0006474455],"domain_scores_gemma":[0.9580398,0.01480864,0.01439706,0.001450642,0.008798125,0.002505766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001542679,0.0006924841,0.3933738,0.001537308,0.0004816904,0.00004448232,0.0008929921,0.004236182,0.000406829,0.008439978,0.02316627,0.5665737],"study_design_scores_gemma":[0.0001150635,0.001396923,0.9391249,0.002073285,0.0003302886,0.0002130838,0.002068561,0.007469012,0.001773752,0.01403952,0.03131912,0.00007656102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5532574,0.1378234,0.03607602,0.2023192,0.00308108,0.0007543144,0.002927073,0.0005639757,0.06319761],"genre_scores_gemma":[0.9572136,0.01970883,0.0170131,0.002999508,0.001242712,0.000161077,0.0008179368,0.0000357379,0.0008073766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683975,"threshold_uncertainty_score":0.08905822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211215325911927,"score_gpt":0.4075161105286747,"score_spread":0.286394577937482,"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."}}