{"id":"W2945895391","doi":"","title":"A Time Series Approach for Forecasting the Weekly Percentages of Influenza in Canada","year":2017,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Seasonal influenza; Time series; Coronavirus disease 2019 (COVID-19); Trend analysis; Statistics; Flu season; Series (stratigraphy); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Incidence (geometry); Demography; Geography; Medicine; Mathematics; Virology; Vaccination; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001866115,0.0001686962,0.0003909295,0.0002975041,0.001551973,0.0001041411,0.001082437,0.00005977434,0.00002413821],"category_scores_gemma":[0.001395434,0.0001321898,0.00008360807,0.0002979057,0.0009456425,0.0003627564,0.001320929,0.0006007103,0.000002652837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344343,"about_ca_system_score_gemma":0.001220726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3006919,"about_ca_topic_score_gemma":0.1268837,"domain_scores_codex":[0.9971472,0.00004562487,0.000225469,0.0003798493,0.00139661,0.00080526],"domain_scores_gemma":[0.9979253,0.000207745,0.0001439194,0.0003291375,0.001235715,0.0001581871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002362225,0.0002236664,0.9658934,0.001086975,0.0003071345,0.00007472975,0.009026188,0.00001803669,0.002992119,0.0008436018,0.01574348,0.001428484],"study_design_scores_gemma":[0.004930319,0.0008099374,0.7435351,0.000373787,0.00006652182,0.00001923724,0.1996221,0.001722852,0.001838296,0.00004518237,0.0467505,0.0002861706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666816,0.00008224944,0.000003400413,0.002523314,0.00001698686,0.002107997,0.00003891245,0.00001491948,0.02853061],"genre_scores_gemma":[0.9927156,0.00008102855,0.0007047476,0.00006386115,0.00006848507,0.00002871293,0.000003371857,0.00001976515,0.006314434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2223583,"threshold_uncertainty_score":0.9997479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207525930886801,"score_gpt":0.4078216377763294,"score_spread":0.1870690446876493,"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."}}