{"id":"W4206743087","doi":"10.2196/preprints.18995","title":"Emergency Response to COVID-19 in Canada: Platform Development and Implementation for eHealth in Crisis Management (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Royal College of Physicians and Surgeons of Canada; University of British Columbia","funders":"","keywords":"Preprint; Triage; eHealth; Health care; Business; Pandemic; Telemedicine; Corporate governance; Digital health; Coronavirus disease 2019 (COVID-19); Medicine; Computer science; Medical emergency; World Wide Web; Political science; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006671775,0.0004091123,0.0002159194,0.0008726823,0.002900165,0.00353284,0.001095583,0.0008170611,0.006422248],"category_scores_gemma":[0.0097808,0.0002851904,0.0004084292,0.0009024758,0.0008495463,0.001756225,0.002315396,0.0008597251,0.001828557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01500885,"about_ca_system_score_gemma":0.06144102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7363883,"about_ca_topic_score_gemma":0.7606093,"domain_scores_codex":[0.9982778,0.0003209873,0.00009028367,0.00015627,0.0006216363,0.0005329079],"domain_scores_gemma":[0.9922773,0.0008212999,0.0001845391,0.0003325245,0.00452055,0.001863883],"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":[0.002812452,0.003017194,0.07968077,0.001941358,0.0001457981,0.002081427,0.02288172,0.01005856,0.03897182,0.0116804,0.1706843,0.6560442],"study_design_scores_gemma":[0.001548394,0.003860347,0.2639534,0.002347066,0.0003498168,0.0003743191,0.04852815,0.05800659,0.04750392,0.003962922,0.5689407,0.0006243756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7892187,0.001884697,0.053916,0.02011885,0.001194402,0.01444778,0.01033909,0.008576856,0.1003036],"genre_scores_gemma":[0.7656478,0.002609087,0.1818748,0.00189071,0.00009782364,0.003159553,0.01015121,0.0007441289,0.03382502],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2636117,"threshold_uncertainty_score":0.5303284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007944400975736,"score_gpt":0.4149929132520768,"score_spread":0.3349134692423195,"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."}}