{"id":"W7000694895","doi":"","title":"Forecasting Emergency Department Arrivals via&#13;\\nRegression with ARIMA errors and Facebook Prophet:&#13;\\nThe Case of a Montreal Hospital","year":2021,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overcrowding; Autoregressive integrated moving average; Emergency department; Demand forecasting; Health care; Triage; Public health","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":[0.001664224,0.001002637,0.0005348751,0.0008804674,0.0005549031,0.001242374,0.001319798,0.001210323,0.002304854],"category_scores_gemma":[0.006255107,0.0002525944,0.0005181165,0.0008331747,0.0004069139,0.0007760873,0.0008886864,0.001474448,0.0003457185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073177,"about_ca_system_score_gemma":0.001457622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.244552,"about_ca_topic_score_gemma":0.1816587,"domain_scores_codex":[0.9994903,0.000181067,0.00002174488,0.00009145824,0.0001023312,0.0001130215],"domain_scores_gemma":[0.9969954,0.002043739,0.0002699497,0.0001439015,0.0003595951,0.0001873532],"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":[0.0008489999,0.0004340104,0.08901485,0.0001279011,0.0001433559,0.001428105,0.0003348179,0.8274551,0.001487655,0.005083657,0.0160713,0.05757023],"study_design_scores_gemma":[0.00001593874,0.00004597048,0.006595048,0.000009790209,0.00001118508,0.00001864746,0.0001338495,0.9919782,0.00027556,0.0003584354,0.0005430431,0.00001433418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727711,0.0005842242,0.01622641,0.003874851,0.0002052593,0.00007394356,0.001435138,0.0003213435,0.004507768],"genre_scores_gemma":[0.9880074,0.000259777,0.008001931,0.0001443466,0.0001272824,0.00002606648,0.0009103564,0.00002134845,0.002501428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.755448,"threshold_uncertainty_score":0.486257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358125011791867,"score_gpt":0.287434159569553,"score_spread":0.2638529094516344,"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."}}