{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005326735,0.0003843368,0.0004990444,0.001089321,0.0007490626,0.001978231,0.001427399,0.001350359,0.005180895],"category_scores_gemma":[0.04083998,0.0003917451,0.0009394457,0.001226465,0.002040143,0.00090078,0.001172287,0.001844348,0.0005209935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009144189,"about_ca_system_score_gemma":0.002024685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069047,"about_ca_topic_score_gemma":0.01337005,"domain_scores_codex":[0.9965655,0.001672061,0.000226635,0.0004328337,0.0006979672,0.0004049766],"domain_scores_gemma":[0.9475302,0.02975759,0.01272534,0.004494319,0.002361533,0.003131015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002464293,0.003673903,0.9605792,0.0001546239,0.0007000144,0.000254279,0.002338892,0.001040728,0.0003834478,0.0005519711,0.0007268385,0.02713198],"study_design_scores_gemma":[0.00009035624,0.001111673,0.9954329,0.00007280227,0.0001560065,0.0001068486,0.001478571,0.0003919865,0.0001479268,0.0005692423,0.0004221007,0.0000196623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976159,0.0003439026,0.0001078661,0.0002100421,0.00002328914,0.00002227132,0.0001100788,0.000004338602,0.001562224],"genre_scores_gemma":[0.9987902,0.0003865162,0.0001250851,0.0001591994,0.00002914467,0.00001686495,0.0001710268,0.000008536502,0.0003134001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069047,"threshold_uncertainty_score":0.02817076,"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."}}