{"id":"W4283740921","doi":"10.22541/au.165658324.49748325/v1","title":"Symptom-based case definitions for COVID-19: time and geographical variations for detection at hospital admission among 260,000 patients","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Medicine; Case fatality rate; Coronavirus disease 2019 (COVID-19); Cohort; Pediatrics; Epidemiology; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006227453,0.0003362925,0.000325409,0.0004656326,0.001947708,0.0002306254,0.0005090978,0.000364141,0.0002799464],"category_scores_gemma":[0.001790094,0.0003504666,0.0002637648,0.0003249834,0.00006713172,0.0001543719,0.001266567,0.0006062141,0.000003367324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098043,"about_ca_system_score_gemma":0.0004659229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651697,"about_ca_topic_score_gemma":0.000402181,"domain_scores_codex":[0.9972119,0.0002924666,0.0005255001,0.001178167,0.0003700948,0.0004219197],"domain_scores_gemma":[0.9962283,0.001628037,0.000397219,0.0008036842,0.0003017025,0.0006410129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007891296,0.004271875,0.6418897,0.00892745,0.0006835928,0.0003140761,0.006919027,0.1896601,0.00004859086,0.07207602,0.01540969,0.05901081],"study_design_scores_gemma":[0.001526987,0.001001114,0.02139797,0.00004137872,0.00007885693,0.00003633208,0.0000150058,0.9633592,0.00001596151,0.006570317,0.005380592,0.0005762556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1655462,0.00002839975,0.8247124,0.003380225,0.0009165564,0.003663439,0.001066792,0.0006019521,0.00008402341],"genre_scores_gemma":[0.897612,0.000007404635,0.09516126,0.001086622,0.0001028795,0.004115525,0.001642582,0.00005450987,0.000217251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7736992,"threshold_uncertainty_score":0.9998947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432112253006152,"score_gpt":0.2974760012348387,"score_spread":0.2731548787047772,"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."}}