{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651965,0.0002977503,0.0003842298,0.0007864079,0.004082166,0.00201057,0.001210835,0.007391617,0.002442932],"category_scores_gemma":[0.01043905,0.0002953404,0.0003970477,0.001622534,0.001184338,0.001089454,0.0007384666,0.006106961,0.00100015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02111188,"about_ca_system_score_gemma":0.02744231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9003748,"about_ca_topic_score_gemma":0.9494407,"domain_scores_codex":[0.9984943,0.0002019612,0.0002509702,0.0001648576,0.0005247159,0.0003633329],"domain_scores_gemma":[0.9933881,0.001241401,0.0003513328,0.000165553,0.003335713,0.00151798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001533135,0.00005523786,0.06833367,0.0001731173,0.00005140291,0.004101871,0.002312608,0.000128216,0.0005392455,0.0007724348,0.8863217,0.03705727],"study_design_scores_gemma":[0.0002521293,0.0002365337,0.2630773,0.002048392,0.0002863172,0.005625746,0.02789183,0.00201542,0.001060333,0.003495363,0.6937783,0.0002322646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02376776,0.002790785,0.0001439345,0.9575896,0.003537313,0.00005974603,0.002767442,0.00007022716,0.009273237],"genre_scores_gemma":[0.1761835,0.007185672,0.001034127,0.7807599,0.008901854,0.00009535356,0.001733076,0.00008067553,0.02402588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09962523,"threshold_uncertainty_score":0.2004238,"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."}}