{"id":"W3197053077","doi":"10.29121/granthaalayah.v9.i8.2021.4129","title":"THE “FLU SEASONS” AND THE MISSING DATA: A MATCHED-PAIR ANALYSIS FOR THE PANDEMIC SEASON 2019_2020","year":2021,"lang":"en","type":"article","venue":"International Journal of Research -GRANTHAALAYAH","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Missing data; Flu season; Geography; Statistics; Virology; Mathematics; Biology; Medicine; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006910853,0.0000930497,0.0002564821,0.0001836582,0.0005662087,0.0004012937,0.0005404025,0.00005287725,0.00006852888],"category_scores_gemma":[0.003737446,0.00004175003,0.0003161186,0.0004817761,0.0003596704,0.0002121537,0.0001952686,0.0005980441,0.000004548407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008827759,"about_ca_system_score_gemma":0.0004493909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004862779,"about_ca_topic_score_gemma":0.0001421301,"domain_scores_codex":[0.9975189,0.0004391478,0.0003305681,0.000182248,0.001297583,0.0002315539],"domain_scores_gemma":[0.9920104,0.004761526,0.0002318084,0.0003807238,0.002513535,0.0001020628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01393423,0.0003509278,0.6664751,0.0001003154,0.02311395,0.0003308223,0.001270092,0.0007889464,0.003166157,0.006371486,0.08409621,0.2000018],"study_design_scores_gemma":[0.01272535,0.0002337359,0.261552,0.00036853,0.002514111,0.001751272,0.002930762,0.3188089,0.0005906811,0.002667519,0.3956834,0.0001736931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.160476,0.03222235,0.140657,0.6616964,0.002553186,0.001333483,0.000170766,0.00003955943,0.0008512472],"genre_scores_gemma":[0.9928688,0.003285127,0.0002538094,0.00042882,0.001274181,0.00001526073,0.00003706315,0.00001177777,0.001825145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8323928,"threshold_uncertainty_score":0.4474342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073108893150394,"score_gpt":0.446682598621756,"score_spread":0.3393717093067166,"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."}}