{"id":"W4365998100","doi":"10.1111/acem.14738","title":"Emergency department utilization, admissions, and revisits in the United States (New York), Canada (Ontario), and New Zealand: A retrospective <scp>cross‐sectional</scp> analysis","year":2023,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Toronto General Hospital; University of Toronto","funders":"National Institute on Aging; National Institutes of Health; University of Toronto; Sunnybrook Research Institute; Foundation for the National Institutes of Health","keywords":"Medicine; Emergency department; Per capita; Demography; Population; Retrospective cohort study; Gerontology; Ambulatory; Emergency medicine; Family medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001414634,0.0005890252,0.0006429933,0.002702759,0.001312374,0.001244777,0.001265598,0.0003915913,0.001101389],"category_scores_gemma":[0.003506373,0.0008109234,0.001354151,0.005316851,0.0008136744,0.0007091127,0.001143159,0.0006813366,0.0001935997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149169,"about_ca_system_score_gemma":0.01164836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9392017,"about_ca_topic_score_gemma":0.9507777,"domain_scores_codex":[0.9980205,0.0001507085,0.0003693681,0.0003591027,0.0007731172,0.0003271337],"domain_scores_gemma":[0.994643,0.0002741654,0.00238293,0.0002432022,0.00182813,0.0006285874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003726155,0.00001115654,0.9986159,0.00004400444,0.0001209586,0.00002927361,0.0001657981,0.00002999787,0.00004217277,0.00001304733,0.0004403967,0.0004500974],"study_design_scores_gemma":[0.000006824409,0.00001563739,0.9991579,0.00002320265,0.00003537064,0.00003773514,0.0002200212,0.00007467013,0.00002172254,0.000003122316,0.0003994554,0.000004307916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756119,0.0008280569,0.0001730847,0.000108019,0.00001048337,0.0001991277,0.02181421,0.000012311,0.001242777],"genre_scores_gemma":[0.9827738,0.0008670321,0.0004134894,0.0001232867,0.00001701591,0.0002586026,0.01509838,0.00001044227,0.0004380965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06079829,"threshold_uncertainty_score":0.1223126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06413922946556243,"score_gpt":0.3469806531415107,"score_spread":0.2828414236759482,"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."}}