{"id":"W4293661949","doi":"10.2196/39234","title":"Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Triage; Emergency department; Thematic analysis; Medical diagnosis; Context (archaeology); Medical emergency; Qualitative research; Medicine; Psychology; Nursing; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001062733,0.0002194703,0.001067419,0.0006181227,0.00009004441,0.000006960078,0.0001996486,0.00003192645,0.002778947],"category_scores_gemma":[0.004141122,0.0001615766,0.000325598,0.002007918,0.00005860151,0.00004278685,0.00009093381,0.0004413325,0.000007647067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835751,"about_ca_system_score_gemma":0.0001097221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002730236,"about_ca_topic_score_gemma":0.0008124912,"domain_scores_codex":[0.9971994,0.0005586235,0.0008990462,0.0003837453,0.0006149596,0.0003442697],"domain_scores_gemma":[0.9932811,0.005645391,0.0004114419,0.0004817469,0.00007231849,0.000108043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002960135,0.01045512,0.765,0.00007211394,0.002703954,0.00007359979,0.2190343,0.0001161115,0.00006759937,0.0004162683,0.0007624629,0.001002416],"study_design_scores_gemma":[0.003162614,0.01031431,0.8085442,0.0001945274,0.002723089,0.000001012499,0.1741794,0.00003308718,0.00004190124,0.0004659317,0.00006987204,0.0002700096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979343,0.00007149601,0.0000162772,0.00007780411,0.00004547104,0.001242672,0.00003169411,0.00003024052,0.0005499847],"genre_scores_gemma":[0.9987035,0.00001172938,0.000005068961,0.0000663637,0.00001963918,0.0004684689,0.000214582,0.00002542322,0.0004851613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04485495,"threshold_uncertainty_score":0.9981326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.053818724461425,"score_gpt":0.4314459757374897,"score_spread":0.3776272512760647,"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."}}