{"id":"W3024689107","doi":"10.1017/cjn.2020.92","title":"Tackling the Burden of Neurological Diseases in Canada with Virtual Care During the COVID-19 Pandemic and Beyond","year":2020,"lang":"en","type":"review","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Content (measure theory); Virology; Pathology; Disease; Infectious disease (medical specialty)","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001951192,0.0004610839,0.001465705,0.0005984852,0.001805986,0.0001937312,0.001551636,0.0001602632,0.00006193966],"category_scores_gemma":[0.003038632,0.0001997332,0.0002165938,0.001636425,0.00513214,0.0002554867,0.0001089169,0.002301716,2.335607e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007649924,"about_ca_system_score_gemma":0.0356299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2267879,"about_ca_topic_score_gemma":0.8994286,"domain_scores_codex":[0.9942102,0.001584653,0.001459907,0.0005858286,0.001060081,0.001099261],"domain_scores_gemma":[0.9936318,0.001991682,0.001498891,0.0001840411,0.0002399981,0.00245356],"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":[0.0002181039,0.00001202614,0.8530024,0.0007756876,0.00004946105,0.01683637,0.001545963,0.001458408,3.484309e-7,0.00008781611,0.000336165,0.1256773],"study_design_scores_gemma":[0.002036301,0.1473534,0.1174339,0.001266639,0.001403832,0.238808,0.01005473,0.0005096612,7.820967e-7,0.0006878395,0.4795372,0.0009076933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6166849,0.3744507,0.000001820563,0.008084303,0.00021895,0.0004568239,0.00004753826,0.000006129244,0.00004881907],"genre_scores_gemma":[0.6054229,0.3882731,0.00006343512,0.00584837,0.0003649413,0.000009107454,0.000001542531,0.00001394018,0.000002661455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7355685,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05750173714378897,"score_gpt":0.3381133222538098,"score_spread":0.2806115851100208,"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."}}