{"id":"W2552325884","doi":"10.1017/s0950268816002636","title":"A look back: investigating Google Flu Trends during the influenza A(H1N1)pdm09 pandemic in Canada, 2009–2010","year":2016,"lang":"en","type":"letter","venue":"Epidemiology and Infection","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Public Health Agency; Public Health Agency of Canada","keywords":"Pandemic; Content (measure theory); Coronavirus disease 2019 (COVID-19); Virology; Action (physics); Medicine; Mathematics; Internal medicine; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001584789,0.0004003284,0.001011954,0.0002694707,0.0001763215,0.000007788529,0.0001322858,0.0007838823,0.0005367049],"category_scores_gemma":[0.002779272,0.0002640047,0.0001233964,0.0002637679,0.0003619805,0.000139158,0.0001160346,0.002260205,0.00008687034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007187205,"about_ca_system_score_gemma":0.0007273878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4378896,"about_ca_topic_score_gemma":0.476955,"domain_scores_codex":[0.9962906,0.001213481,0.0009074266,0.0006782822,0.0001511522,0.0007590721],"domain_scores_gemma":[0.9969833,0.001651595,0.0005346565,0.0006070107,0.00006095759,0.0001624785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002258985,0.000003651025,0.5888536,0.0001354046,0.0000543527,0.00003221357,0.00001547522,0.0000102749,0.00007014318,0.000003478724,0.4073957,0.00340314],"study_design_scores_gemma":[0.0006299267,0.00003639594,0.598779,0.0002995319,0.0000460806,0.0001476949,0.000003185911,0.00005967002,0.00000809256,0.0001746329,0.3996297,0.0001860836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7036747,0.002509492,0.0000277838,0.2888743,0.001463324,0.0004892714,0.0003591715,0.0001285419,0.002473457],"genre_scores_gemma":[0.05864114,0.001454397,0.00009111464,0.9251958,0.005771313,0.0001739492,0.0008427256,0.00009628403,0.007733259],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6450335,"threshold_uncertainty_score":0.9999812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970311858399097,"score_gpt":0.2986362256962791,"score_spread":0.2589331071122881,"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."}}