{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02135042,0.0008431306,0.001946848,0.0034255,0.001391559,0.001231826,0.002790614,0.001419737,0.01820775],"category_scores_gemma":[0.03908968,0.0005905069,0.005328428,0.002861968,0.0005782719,0.001662369,0.00214383,0.002933345,0.001747615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009407036,"about_ca_system_score_gemma":0.001644103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258443,"about_ca_topic_score_gemma":0.009238523,"domain_scores_codex":[0.9787323,0.01303203,0.0009910745,0.002964284,0.002020917,0.002259478],"domain_scores_gemma":[0.9594844,0.02935418,0.003172376,0.004922281,0.001598348,0.001468382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01673778,0.001348823,0.9077351,0.0005530896,0.01215872,0.001296168,0.001017602,0.003848015,0.001304586,0.0024095,0.01842729,0.03316332],"study_design_scores_gemma":[0.0006729224,0.0123577,0.8453006,0.0002717891,0.008286913,0.001976168,0.006206451,0.1084895,0.001820424,0.002804347,0.0115731,0.000240039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721227,0.0007586426,0.01113335,0.0006643726,0.0005667729,0.0003751948,0.01195263,0.0001694408,0.002256889],"genre_scores_gemma":[0.9835882,0.0001370602,0.006653436,0.0001703616,0.0001250644,0.000439455,0.006057333,0.00008262917,0.002746252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02135042,"threshold_uncertainty_score":0.1129131,"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."}}