{"id":"W2101662705","doi":"10.1111/j.1365-2753.2011.01787.x","title":"Managing and avoiding delay in operating theatres: a qualitative, observational study","year":2011,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; University of Toronto","funders":"","keywords":"Audit; Observational study; Underpinning; Work (physics); Medicine; Operating theatres; Qualitative research; Metropolitan area; Observational methods in psychology; Medical education; Medical emergency; Nursing; Operations management; Business; Engineering; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.092166,0.00009722572,0.000333801,0.0002699402,0.0003826697,0.00002552005,0.00008997238,0.0001415858,0.0001978059],"category_scores_gemma":[0.07094926,0.00008245827,0.00003820309,0.0004125772,0.00003026792,0.001337093,0.0000465147,0.001681284,0.00000916468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200234,"about_ca_system_score_gemma":0.0007988823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005000324,"about_ca_topic_score_gemma":0.0007977682,"domain_scores_codex":[0.9762756,0.01950973,0.003178289,0.0002103036,0.0006285176,0.0001975397],"domain_scores_gemma":[0.978643,0.01776432,0.001376313,0.0001457917,0.001964942,0.0001056614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005670619,0.0014748,0.7079252,0.00006117985,0.00006792147,0.00004994962,0.261009,0.008790942,0.000009306629,0.003065845,0.0001900366,0.01678876],"study_design_scores_gemma":[0.004702578,0.0008166941,0.4590594,0.0005639617,0.00009882341,0.00001709823,0.4246572,0.1055269,4.659126e-7,0.004101315,0.0003061314,0.0001495003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802509,0.0002280644,0.007538168,0.006500049,0.0006071866,0.001043053,9.924839e-7,0.000005957357,0.003825607],"genre_scores_gemma":[0.9257419,0.0002322105,0.07250305,0.001244019,0.0001921303,0.00004537003,0.000002418777,0.00001158687,0.00002734744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2488659,"threshold_uncertainty_score":0.9368765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.709758178180053,"score_gpt":0.6764914490071459,"score_spread":0.03326672917290718,"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."}}