{"id":"W4221053635","doi":"10.2139/ssrn.4048352","title":"Adaptive Server Behavior to Schedule Deviations and Its Consequences: Evidence from Operating Rooms","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Speedup; Parallel computing; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006624667,0.0001191676,0.0002003974,0.00008530928,0.0006168539,0.00004160862,0.0001298628,0.00003008543,0.000504841],"category_scores_gemma":[0.0002816833,0.00009718154,0.00006447704,0.0001984271,0.00002097839,0.0001977568,0.0001183512,0.001271894,0.00002113841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007482126,"about_ca_system_score_gemma":0.002385257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699403,"about_ca_topic_score_gemma":0.0003311448,"domain_scores_codex":[0.9983287,0.00009005037,0.0002415994,0.0002116222,0.0003180898,0.0008099027],"domain_scores_gemma":[0.9993907,0.00008286261,0.00007683774,0.0001129424,0.00009540914,0.0002412382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006667022,0.001032298,0.7378032,0.00003844837,0.001093825,0.0006672667,0.007607969,0.001478391,0.1093308,0.09783601,0.0004636954,0.04198138],"study_design_scores_gemma":[0.01325795,0.03335329,0.6588035,0.002542645,0.003177239,0.01884839,0.1708768,0.008389656,0.02079523,0.06075703,0.005718309,0.003479977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868767,0.007241176,0.0005659336,0.004822888,0.000105562,0.0003016526,0.00001131265,0.00002097678,0.0000537601],"genre_scores_gemma":[0.9964725,0.0004888624,0.0007635148,0.0005644003,0.0001099384,0.00005218451,0.000004550131,0.00001599578,0.001527999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1632688,"threshold_uncertainty_score":0.5527654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275568127244436,"score_gpt":0.3067722354208902,"score_spread":0.2740165541484458,"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."}}