{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007989499,0.0004491812,0.000209057,0.001207277,0.003355797,0.003393418,0.001320034,0.0008679211,0.003789079],"category_scores_gemma":[0.01183723,0.0002848637,0.0004648901,0.001045919,0.001071808,0.002293216,0.003257807,0.0010556,0.0009400079],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01915822,"about_ca_system_score_gemma":0.08905794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.730777,"about_ca_topic_score_gemma":0.7857666,"domain_scores_codex":[0.9979534,0.0004950435,0.0001078954,0.0001636156,0.0006195768,0.0006603926],"domain_scores_gemma":[0.9912776,0.0008919216,0.0002823722,0.0004019472,0.004623071,0.002523101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002366089,0.003429904,0.08362017,0.002044273,0.0001370489,0.002092986,0.02591833,0.009457204,0.02979829,0.01316528,0.05397249,0.7739979],"study_design_scores_gemma":[0.001950085,0.004408101,0.2989861,0.003916599,0.000509394,0.0006992707,0.07066786,0.07971328,0.04670668,0.008584248,0.4830478,0.0008104508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110848,0.002894647,0.06885706,0.02004688,0.0006169823,0.01567011,0.004457009,0.005324847,0.07104769],"genre_scores_gemma":[0.7609773,0.002977038,0.2105517,0.001654705,0.000061251,0.003046765,0.003510881,0.0003594586,0.01686088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9808418,"threshold_uncertainty_score":0.5416169,"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."}}