{"id":"W3193516764","doi":"10.1287/opre.2021.2187","title":"Who Is Next: Patient Prioritization Under Emergency Department Blocking","year":2021,"lang":"en","type":"article","venue":"Operations Research","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prioritization; Stylized fact; Emergency department; Blocking (statistics); Medical emergency; Resource allocation; Operations management; Computer science; Resource (disambiguation); Medicine; Operations research; Business; Process management; Nursing; Engineering","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":[0.00477103,0.0007881389,0.0008030465,0.001131492,0.001000057,0.002213542,0.001380655,0.001577673,0.003536812],"category_scores_gemma":[0.02130177,0.0003485822,0.001155152,0.001626266,0.001766239,0.001578067,0.001197021,0.002438174,0.0001616096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009322349,"about_ca_system_score_gemma":0.0109113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2939261,"about_ca_topic_score_gemma":0.2991544,"domain_scores_codex":[0.9974687,0.00125945,0.00005339003,0.0002982996,0.0002837115,0.0006364033],"domain_scores_gemma":[0.9826234,0.01296199,0.002087528,0.0003721953,0.0008497591,0.00110511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002373263,0.002127132,0.6277608,0.0005814689,0.001699321,0.001161285,0.003498543,0.1765,0.001997402,0.07393643,0.04483861,0.06352574],"study_design_scores_gemma":[0.0006924539,0.001403899,0.2286635,0.0002213532,0.001335763,0.0005606213,0.009332467,0.6857361,0.00119342,0.05946747,0.01113714,0.0002559033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246944,0.005144424,0.0318817,0.02521239,0.0006342388,0.000294884,0.001220184,0.0001292163,0.01078869],"genre_scores_gemma":[0.9911849,0.001087913,0.004699333,0.001151858,0.0001582103,0.0000533092,0.0002253508,0.0000124279,0.00142663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2939261,"threshold_uncertainty_score":0.5844306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09496434865947079,"score_gpt":0.4192075600453006,"score_spread":0.3242432113858298,"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."}}