{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102135,0.0002428609,0.0004192304,0.0005563585,0.0008538764,0.001241596,0.0005086016,0.0007148327,0.004902081],"category_scores_gemma":[0.0023023,0.0002061909,0.0003439308,0.001356532,0.0003146884,0.0004541599,0.0005530498,0.000326093,0.0004739508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947751,"about_ca_system_score_gemma":0.002621917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349962,"about_ca_topic_score_gemma":0.007795374,"domain_scores_codex":[0.9989275,0.000541421,0.0000561595,0.0001563801,0.0001917585,0.0001266612],"domain_scores_gemma":[0.9994717,0.0002293451,0.00008482826,0.00002319022,0.0001051311,0.00008580837],"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":[0.0002174423,0.0001298554,0.008433889,0.0006015211,0.000104158,0.0003866804,0.0004871287,0.7140462,0.002815651,0.07309207,0.01394457,0.1857408],"study_design_scores_gemma":[0.00007028514,0.0002636396,0.00838657,0.0001789595,0.00005234887,0.0001830975,0.0009107335,0.8694931,0.001709128,0.07637388,0.04233537,0.00004285583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2927646,0.0129065,0.6241642,0.005401473,0.001203343,0.0006741358,0.00169866,0.000887887,0.06029917],"genre_scores_gemma":[0.8907189,0.003139371,0.09706528,0.0002012637,0.0001724171,0.0001671305,0.0005140614,0.00005582466,0.007965824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01349962,"threshold_uncertainty_score":0.02684206,"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."}}