{"id":"W4386555821","doi":"10.48550/arxiv.2309.02604","title":"Screening of Pneumonia and Urinary Tract Infection at Triage using TriNet","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Triage; Emergency department; Workload; Medicine; Medical diagnosis; Pneumonia; Workflow; Emergency medicine; Population; Medical emergency; Health care; Intensive care medicine; Computer science; Internal medicine; Nursing; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002123236,0.0008974082,0.0007827798,0.001132504,0.0003222358,0.0008785396,0.001014764,0.0008630004,0.002603672],"category_scores_gemma":[0.008437741,0.0002760694,0.000827102,0.0006555489,0.0002486216,0.0007130451,0.0007162723,0.001258298,0.0009365987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065141,"about_ca_system_score_gemma":0.001580336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330388,"about_ca_topic_score_gemma":0.01887139,"domain_scores_codex":[0.9992239,0.0003041289,0.00007244945,0.0002255043,0.00009180014,0.0000821646],"domain_scores_gemma":[0.9967296,0.001792494,0.0002684904,0.0002899101,0.0007299482,0.0001895086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002025294,0.001176192,0.1784362,0.0004079468,0.0005278556,0.0005946718,0.0002086414,0.5344152,0.004283826,0.002184964,0.03005427,0.2456849],"study_design_scores_gemma":[0.00004041177,0.0002615812,0.006828479,0.00003147077,0.00003913913,0.000126819,0.00003484161,0.9867675,0.002090994,0.001815206,0.001940523,0.00002310023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.636136,0.001430422,0.3272731,0.004080686,0.0008905553,0.0007274151,0.0111786,0.01077638,0.00750688],"genre_scores_gemma":[0.8870989,0.0003574729,0.096733,0.000766869,0.0001384415,0.0002887605,0.01010973,0.0001110735,0.004395734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330388,"threshold_uncertainty_score":0.0264529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804055846040408,"score_gpt":0.2539119549694672,"score_spread":0.07350637036542645,"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."}}