{"id":"W2334550270","doi":"10.9790/1684-0162840","title":"Staff Scheduling in Health Care Systems","year":2012,"lang":"en","type":"article","venue":"IOSR Journal of Mechanical and Civil Engineering","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Nurse scheduling problem; Scheduling (production processes); Computer science; Fair-share scheduling; MATLAB; Dynamic priority scheduling; Mathematical optimization; Job shop scheduling; Operations research; Two-level scheduling; Health care; Rate-monotonic scheduling; Distributed computing; Mathematics; Operating system; Schedule; Economics","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":[0.004644382,0.0001063057,0.0003764438,0.000344075,0.0000667452,0.0001013621,0.0002301432,0.00006877459,0.00001844563],"category_scores_gemma":[0.001815834,0.0000782366,0.00008974872,0.0004389686,0.000009828822,0.0003002323,0.0000511988,0.0003751113,0.000007312893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006864803,"about_ca_system_score_gemma":0.00007395573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001362395,"about_ca_topic_score_gemma":0.00001448977,"domain_scores_codex":[0.9978997,0.0000998267,0.0008573813,0.0001228483,0.0006410336,0.0003792722],"domain_scores_gemma":[0.9986014,0.0004967573,0.0002538057,0.0001417282,0.0001610982,0.0003451627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007933174,0.0003933487,0.004222213,0.000263436,0.0001322163,0.00004554943,0.005487585,0.8331679,0.004753473,0.1229002,0.0004252214,0.02812955],"study_design_scores_gemma":[0.005353577,0.001438606,0.008038952,0.003004891,0.0001136327,0.002127316,0.03244794,0.8458325,0.001707206,0.004212957,0.09423836,0.001484117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7678344,0.04614102,0.1814087,0.001377622,0.002984513,0.0001066542,0.00000492402,0.00003540068,0.0001068272],"genre_scores_gemma":[0.9941979,0.000104463,0.005307863,0.00002447709,0.0003350211,0.000001167774,1.910267e-7,0.000009753425,0.00001914049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2263636,"threshold_uncertainty_score":0.3190396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05216557871757429,"score_gpt":0.3288273123361916,"score_spread":0.2766617336186173,"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."}}