{"id":"W7132903977","doi":"","title":"Predicting Duration of Surgery to Schedule Elective Orthopaedic Surgery","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Duration (music); Schedule; Scheduling (production processes); Overtime; Orthopedic surgery; Reduction (mathematics)","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","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007429437,0.000763894,0.001842412,0.00197057,0.00372669,0.00006887033,0.000298343,0.001153132,0.007848343],"category_scores_gemma":[0.01248807,0.0008989898,0.0006695762,0.003764225,0.00005902863,0.0004177139,0.0001520979,0.002641218,0.0001555398],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107061,"about_ca_system_score_gemma":0.01217444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005466072,"about_ca_topic_score_gemma":0.003230232,"domain_scores_codex":[0.9879723,0.004047644,0.003906553,0.001289573,0.001466306,0.00131762],"domain_scores_gemma":[0.9861349,0.006600552,0.002956807,0.000934111,0.002707252,0.0006664164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0033222,0.001466579,0.5803283,0.01283646,0.000774534,0.0000518931,0.319909,0.03855069,0.004370045,0.001800307,0.01780019,0.0187898],"study_design_scores_gemma":[0.001804566,0.001243553,0.2084768,0.01502112,0.001119172,0.000029256,0.6706445,0.07994936,0.005028837,0.0001204103,0.01196501,0.00459744],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766285,0.001039795,0.004330969,0.00420812,0.007661981,0.003753666,0.000146937,0.0001915945,0.002038444],"genre_scores_gemma":[0.9684896,0.001441395,0.003477393,0.0007180709,0.001032619,0.001540167,0.007166742,0.0002817306,0.01585229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3718515,"threshold_uncertainty_score":0.9996597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023988226532438,"score_gpt":0.4527901172489173,"score_spread":0.3503912945956735,"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."}}