{"id":"W3093658890","doi":"10.2196/21939","title":"Leveraging a Cloud-Based Critical Care Registry for COVID-19 Pandemic Surveillance and Research in Low- and Middle-Income Countries","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Wellcome Trust","keywords":"Pandemic; Medicine; Interoperability; Business; Health care; Analytics; Medical emergency; Intensive care; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Economic growth; Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02838356,0.0006723054,0.0006757556,0.003024979,0.001358037,0.004353448,0.002755926,0.0008368041,0.003780667],"category_scores_gemma":[0.04589427,0.0007070521,0.0009638705,0.003433568,0.0009142142,0.006500742,0.008906062,0.001887075,0.002070391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021403,"about_ca_system_score_gemma":0.01135876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641163,"about_ca_topic_score_gemma":0.01253182,"domain_scores_codex":[0.9824281,0.008549152,0.002081085,0.002917757,0.002379402,0.001644427],"domain_scores_gemma":[0.9320543,0.01257982,0.007460719,0.02250564,0.01474836,0.01065124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002232396,0.001226073,0.394959,0.001348645,0.000547908,0.001598468,0.005012784,0.01415449,0.008910269,0.01893323,0.1200023,0.4310745],"study_design_scores_gemma":[0.002034534,0.003525808,0.332918,0.003377463,0.0008581304,0.001995004,0.01462973,0.1426745,0.02432603,0.02144994,0.4515301,0.0006807327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6060286,0.003108028,0.2111991,0.04597108,0.003425746,0.0135513,0.03915495,0.01999958,0.05756163],"genre_scores_gemma":[0.760105,0.001726936,0.1982908,0.003685248,0.000827753,0.002789191,0.02921296,0.0006463806,0.002715743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02838356,"threshold_uncertainty_score":0.1501084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4569659533734876,"score_gpt":0.5057672141444053,"score_spread":0.04880126077091768,"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."}}