{"id":"W4389070734","doi":"10.7759/cureus.49520","title":"Homelessness and Emergency Department Use: Wait Time Disparities Across Triage Acuity Levels","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Triage; Medicine; Emergency department; Emergency medicine; Medical emergency; Percentile; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004743749,0.0001016576,0.0002076543,0.0006391348,0.0005244788,0.0007336113,0.0004745801,0.0002843514,0.003467165],"category_scores_gemma":[0.002687276,0.00007849446,0.000320005,0.001183383,0.0004798257,0.0003305073,0.0005975529,0.0004873291,0.0001092198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956884,"about_ca_system_score_gemma":0.002807134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5607342,"about_ca_topic_score_gemma":0.5113588,"domain_scores_codex":[0.9995598,0.00004293726,0.00002771371,0.00008896306,0.00009757514,0.0001829312],"domain_scores_gemma":[0.9986198,0.0002191461,0.0005628392,0.00005616368,0.0001805831,0.0003614493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002637954,0.00001733955,0.9968761,0.000008848223,0.00002460816,0.00003064469,0.0002568339,0.00007339764,0.00004299121,0.0001055966,0.0002372472,0.002300063],"study_design_scores_gemma":[8.445136e-7,0.0000101892,0.9993087,0.00000892737,0.000005858381,0.00002284544,0.0003589928,0.0001256293,0.00001237195,0.00002997254,0.0001142604,0.000001375253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978585,0.0002881443,0.0001081393,0.0003103291,0.000005667908,0.000008260494,0.0007409045,0.000005281832,0.0006747588],"genre_scores_gemma":[0.9996583,0.000048816,0.00002235684,0.00002082536,0.000003821195,0.000001862604,0.0001519387,8.848831e-7,0.00009121621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5607342,"threshold_uncertainty_score":0.8837056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230440488756401,"score_gpt":0.444143005860863,"score_spread":0.3210989569852229,"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."}}