{"id":"W3197340783","doi":"10.2196/30878","title":"Access, Use, and Patient-Reported Experiences of Emergency Care During the COVID-19 Pandemic: Population-Based Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Flinders University","keywords":"Overcrowding; Telehealth; Pandemic; Medicine; Health care; Family medicine; Coronavirus disease 2019 (COVID-19); Emergency department; Population; Demographics; Computer-assisted web interviewing; Medical emergency; Telemedicine; Nursing; Demography; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001553742,0.0001479434,0.0002506428,0.000837623,0.0005430951,0.0006492915,0.0004526443,0.0006051868,0.00177525],"category_scores_gemma":[0.003808899,0.0003281751,0.0004028407,0.001113578,0.0003954873,0.001252207,0.001211258,0.0009383175,0.0005386105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849378,"about_ca_system_score_gemma":0.0005429084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082791,"about_ca_topic_score_gemma":0.01274861,"domain_scores_codex":[0.9989604,0.0003164955,0.0001967055,0.0001310966,0.0002502659,0.0001450337],"domain_scores_gemma":[0.9974855,0.0003238495,0.001333846,0.0001037009,0.0003163581,0.0004367816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002229501,0.00008229051,0.9959292,0.00004923928,0.00002424296,0.00006472937,0.001690782,0.00002750445,0.0001225899,0.00001739631,0.0004817982,0.001487995],"study_design_scores_gemma":[0.000002196795,0.0001203593,0.9961584,0.00002516454,0.000005672808,0.000181001,0.003040341,0.00006852616,0.00002382313,0.00001159719,0.0003570539,0.000005820064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973997,0.00008341671,0.00006516816,0.0001752739,0.000004295654,0.00005248793,0.001395762,0.000004383161,0.000819561],"genre_scores_gemma":[0.9984737,0.0001669176,0.0001695053,0.0001800009,0.000006310528,0.00008729546,0.0006314565,0.000002274489,0.0002825709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082791,"threshold_uncertainty_score":0.02152973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2474338988482932,"score_gpt":0.4581698870989445,"score_spread":0.2107359882506513,"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."}}