{"id":"W3025763588","doi":"10.2196/18995","title":"Emergency Response to COVID-19 in Canada: Platform Development and Implementation for eHealth in Crisis Management","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Disaster Response and Management","field":"Health Professions","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Health care; eHealth; Business; Triage; Resource allocation; Public health; Crisis management; Digital health; Telemedicine; Pandemic; Corporate governance; Risk analysis (engineering); Computer security; Computer science; Medicine; Medical emergency; Coronavirus disease 2019 (COVID-19); Disease; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00361824,0.0001746315,0.0003566936,0.000279791,0.0003724135,0.00001500239,0.0001300008,0.00004425809,0.00008139842],"category_scores_gemma":[0.0002456413,0.0001751257,0.0000133451,0.0005434453,0.0000071981,0.0001388964,0.0001832076,0.0001628782,0.000005994914],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906155,"about_ca_system_score_gemma":0.00723334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.181781,"about_ca_topic_score_gemma":0.9211789,"domain_scores_codex":[0.9966702,0.0006100186,0.001002866,0.0004905599,0.0002541431,0.0009722071],"domain_scores_gemma":[0.9978336,0.0002776147,0.0001793777,0.0001613829,0.00004046959,0.001507529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00324587,0.00006434985,0.5997061,0.005284656,0.00002626074,0.00002900006,0.09077313,0.000008377959,0.000001430387,0.003346786,0.1900663,0.1074478],"study_design_scores_gemma":[0.001707441,0.0001166385,0.2956647,0.00001371972,2.072423e-7,2.822668e-7,0.0651733,0.00005281339,5.361789e-8,0.00003994373,0.6371025,0.0001283921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933494,0.0002483029,0.001906196,0.1990647,0.0001667873,0.004889666,0.00006443741,0.00003364977,0.0002767417],"genre_scores_gemma":[0.9127637,0.0004508827,0.0008612,0.08275225,0.0000362705,0.002808894,0.00008236527,0.00002145925,0.0002229796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7393979,"threshold_uncertainty_score":0.9983947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1168492583065912,"score_gpt":0.4421096747213714,"score_spread":0.3252604164147802,"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."}}