{"id":"W3091190124","doi":"10.1371/journal.pone.0239886","title":"Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Toronto Public Health; Sinai Health System; McGill University Health Centre; Women's College Hospital; University of Toronto; University Health Network","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; University of Toronto","keywords":"Medicine; Respondent; Cross-sectional study; Public health; Context (archaeology); Phone; Public health surveillance; Family medicine; Demography; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001432239,0.0004383286,0.0004608808,0.001719927,0.003273256,0.001689626,0.001202274,0.0005963305,0.001882644],"category_scores_gemma":[0.002818514,0.0005551417,0.000641299,0.005344407,0.0009033757,0.0006238564,0.001183254,0.0008934551,0.0002954885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02808367,"about_ca_system_score_gemma":0.03500998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938652,"about_ca_topic_score_gemma":0.9945117,"domain_scores_codex":[0.9981635,0.0001462577,0.0001255746,0.0002905618,0.0007478814,0.0005262776],"domain_scores_gemma":[0.9953279,0.0002687118,0.0008790151,0.0001324549,0.002370814,0.001021111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003254324,0.00004109863,0.9970301,0.00003961417,0.00003708012,0.00004609576,0.0006175849,0.00002900142,0.00010775,0.00003202829,0.0005173989,0.001469667],"study_design_scores_gemma":[0.000005687383,0.00003580831,0.9978497,0.00002651755,0.00002286904,0.0000440115,0.001260454,0.0001644843,0.00003960255,0.000008342805,0.000534851,0.000007714545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895889,0.0005596647,0.0002038854,0.0002886738,0.00001236772,0.0001807036,0.007465634,0.00001654095,0.001683812],"genre_scores_gemma":[0.9954246,0.0005080846,0.0004201981,0.0003294449,0.000007198613,0.00007873464,0.002416457,0.000008621924,0.0008066991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02808367,"threshold_uncertainty_score":0.2037622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0662526051638153,"score_gpt":0.2821490124325797,"score_spread":0.2158964072687644,"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."}}