{"id":"W4400835656","doi":"10.20944/preprints202407.1459.v1","title":"Optimising Clinical Epidemiology in Disease Outbreaks: Analysis of ISARIC-WHO COVID-19 Case Report Form Utilisation","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Medical Research Council; National Institutes of Health; Kementerian Kesihatan Malaysia; All-India Institute of Medical Sciences; Prince Charles Hospital Foundation; Foreign, Commonwealth and Development Office; National Institute for Health Research Health Protection Research Unit; University of Oxford; Norges Forskningsråd; University of Cape Town; Public Health England; Wellcome Trust; University College Dublin; Canadian Institutes of Health Research; Imperial College London; Medical Research Charities Group; European Federation of Pharmaceutical Industries and Associations; National Institute for Health and Care Research; JST-Mirai Program; Ministero della Salute; Institut National de la Santé et de la Recherche Médicale; Sunnybrook Research Institute; European Commission; Bill and Melinda Gates Foundation","keywords":"CRFS; Data collection; Outbreak; Medicine; Demographics; Data quality; Psychological intervention; Epidemiology; Coronavirus disease 2019 (COVID-19); Quality management; Clinical trial; Consistency (knowledge bases); Infectious disease (medical specialty); Disease; Conditional random field; Computer science; Statistics; Internal medicine; Operations management; Demography; Nursing; Pathology; Artificial intelligence; Mathematics; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.121104,0.0007790709,0.001405049,0.008438901,0.0005684873,0.0036651,0.001988687,0.0008965826,0.001733481],"category_scores_gemma":[0.3170582,0.0006825029,0.001650059,0.01184277,0.001044432,0.003524445,0.004480187,0.0009490742,0.0005438646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186265,"about_ca_system_score_gemma":0.003202423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007178992,"about_ca_topic_score_gemma":0.005002216,"domain_scores_codex":[0.833527,0.09318299,0.04058923,0.007944464,0.02063475,0.004121542],"domain_scores_gemma":[0.6510686,0.1573972,0.1353972,0.02178901,0.03148077,0.002867083],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002922811,0.00005459663,0.9790528,0.0005604884,0.0001683896,0.0001068966,0.002769156,0.0004996202,0.0001488825,0.0002119919,0.001332824,0.01480199],"study_design_scores_gemma":[0.00001793255,0.000171766,0.9932473,0.0003982107,0.00005508722,0.0003036836,0.002068902,0.001007943,0.000200224,0.0001059715,0.002397554,0.0000253766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740028,0.002396547,0.005547202,0.0009627589,0.00006973914,0.00221951,0.01086368,0.0001026974,0.00383506],"genre_scores_gemma":[0.9808862,0.000795537,0.008041274,0.0002683518,0.00005988857,0.002098133,0.007404674,0.00007721092,0.000368846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8788959,"threshold_uncertainty_score":0.640467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4012679242562471,"score_gpt":0.5310055963663602,"score_spread":0.1297376721101132,"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."}}