{"id":"W1942284201","doi":"10.1016/j.orhc.2015.09.011","title":"A mathematical optimization model for efficient management of Nurses’ Quarters in a teaching and referral hospital in Hong Kong","year":2015,"lang":"en","type":"article","venue":"Operations Research for Health Care","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workflow; Computer science; Intranet; Reservation; Quarter (Canadian coin); Process (computing); Integer programming; Operations research; Workstation; Web application; Operations management; The Internet; World Wide Web; Database; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00188537,0.001395503,0.002527119,0.001204221,0.001738264,0.004182802,0.002718125,0.00299263,0.006383449],"category_scores_gemma":[0.002776702,0.001614648,0.001611144,0.001393242,0.001179512,0.001573208,0.001609371,0.001924118,0.0004094519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007596316,"about_ca_system_score_gemma":0.007877426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2322546,"about_ca_topic_score_gemma":0.1117149,"domain_scores_codex":[0.9989622,0.0002894982,0.0000440749,0.0001895283,0.00007825687,0.0004364762],"domain_scores_gemma":[0.9984524,0.0007685064,0.0002055909,0.00003823757,0.000270526,0.0002647045],"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":[0.00004822594,0.00003690594,0.0008037243,0.00002523647,0.00001816644,0.00009631828,0.00003074482,0.9960548,0.00009431157,0.001592857,0.00043622,0.0007624277],"study_design_scores_gemma":[0.000009209961,0.00001752912,0.0003627918,0.000004551368,0.000009556636,0.000005528046,0.00007652761,0.9990397,0.00002773346,0.0003193736,0.0001204209,0.000007081565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789632,0.001681796,0.1746331,0.003421557,0.0003899725,0.0004970051,0.002288763,0.0002919743,0.02716384],"genre_scores_gemma":[0.9815719,0.0005297326,0.006507164,0.00009482071,0.00004661809,0.0001778428,0.0004426627,0.00003702447,0.01059215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2322546,"threshold_uncertainty_score":0.4618055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1968188417889316,"score_gpt":0.5514352432710549,"score_spread":0.3546164014821233,"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."}}