{"id":"W3185060467","doi":"10.1101/2021.07.15.21260590","title":"Development and validation of a clinical risk score to predict SARS-CoV-2 infection in emergency department patients: The CCEDRRN COVID-19 Infection Score (CCIS)","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Ottawa; University of Toronto; McMaster University; Queen's University; NOSM University; University of British Columbia; University of Saskatchewan; University of Alberta; Université Laval; Foothills Medical Centre; University of Calgary","funders":"Ministry of Colleges and Universities; Canadian Institutes of Health Research; Fondation CHU de Québec; Genome British Columbia; Saskatchewan Health Research Foundation","keywords":"Emergency department; Medicine; Incidence (geometry); Coronavirus disease 2019 (COVID-19); Emergency medicine; Cohort; Framingham Risk Score; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internal medicine; Disease; Infectious disease (medical specialty)","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":[0.004966021,0.001020561,0.0005403924,0.001695187,0.0004972746,0.001036245,0.001080227,0.0004683928,0.001007547],"category_scores_gemma":[0.01445614,0.0002388107,0.0007752122,0.0009123151,0.0005023587,0.0005007015,0.0009198275,0.000687823,0.0003617673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003207106,"about_ca_system_score_gemma":0.007297349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1657841,"about_ca_topic_score_gemma":0.1815909,"domain_scores_codex":[0.9972096,0.0005859259,0.0002498811,0.0002944369,0.00145553,0.0002046724],"domain_scores_gemma":[0.9936907,0.0009452239,0.001143545,0.0002733169,0.003433716,0.0005133866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001902227,0.00008176882,0.9878143,0.0000238048,0.0001061868,0.0000277567,0.00004541092,0.0008838463,0.000231141,0.00007744012,0.000845166,0.009672947],"study_design_scores_gemma":[0.0001262994,0.0005715394,0.9822863,0.00003469742,0.0000978337,0.000117793,0.0001325159,0.01460693,0.0005495542,0.0001153242,0.001340217,0.00002098088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882579,0.0002452167,0.00550428,0.0002645916,0.00005750839,0.0006760921,0.002455927,0.00006123441,0.002477309],"genre_scores_gemma":[0.9875849,0.0001352487,0.007462812,0.00007025406,0.00002850658,0.0002182436,0.003958009,0.00001322797,0.0005287103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657841,"threshold_uncertainty_score":0.3296382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564919210397609,"score_gpt":0.4664855844805923,"score_spread":0.3099936634408314,"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."}}