{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002680372,0.0001635487,0.0004803765,0.00006492961,0.00005732289,0.00002677176,0.0001216104,0.00003806198,0.000357099],"category_scores_gemma":[0.001138338,0.0001703601,0.00002794482,0.0003211546,0.00006612973,0.00005169691,0.00006677913,0.0002191687,0.0000404383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006730983,"about_ca_system_score_gemma":0.003961768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.261309,"about_ca_topic_score_gemma":0.6982275,"domain_scores_codex":[0.9981508,0.000118599,0.0003470953,0.0004928319,0.0006270974,0.0002635305],"domain_scores_gemma":[0.998753,0.0002023913,0.0000796044,0.0002929815,0.0000807867,0.0005913047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005035548,0.001196932,0.9948459,0.000350463,0.0001405923,0.0005780252,0.00005355134,0.00006796284,0.001524924,0.000001376397,0.0007253036,0.00001144219],"study_design_scores_gemma":[0.005498968,0.0002184385,0.9899143,0.00003044136,0.00002590783,0.000007742534,0.00005174313,0.003809556,0.00009721127,0.000002069882,0.0001796315,0.0001639935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959725,0.0002324697,0.000006847551,0.001924604,0.00003791413,0.0007637397,0.00085838,0.00009302012,0.0001105231],"genre_scores_gemma":[0.9955892,0.00001385639,0.0001088846,0.003916686,0.0000778655,0.00005860171,0.0001765109,0.00002540047,0.00003297014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4369185,"threshold_uncertainty_score":0.74361,"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."}}