{"id":"W4393016637","doi":"10.2196/53551","title":"Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Europe: Longitudinal Trend Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Public health surveillance; Virology; Public health; Medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007023621,0.0003283823,0.0003343054,0.00302185,0.0002092531,0.001253569,0.0004969685,0.000422527,0.0009680686],"category_scores_gemma":[0.01436194,0.0001532047,0.0006758909,0.004310558,0.0002054311,0.00161691,0.000729955,0.0005553007,0.0002973225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007002946,"about_ca_system_score_gemma":0.0008305704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094061,"about_ca_topic_score_gemma":0.006698392,"domain_scores_codex":[0.998522,0.0004436421,0.0002234499,0.0003920224,0.0002368758,0.0001820941],"domain_scores_gemma":[0.9908894,0.00215318,0.003252297,0.000851021,0.002476004,0.0003781399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006059129,0.00001792757,0.98847,0.00002562882,0.0001521015,0.00002181288,0.0001025415,0.001556192,0.00006759266,0.0002794082,0.001389306,0.007856908],"study_design_scores_gemma":[0.000008348949,0.0001366618,0.981796,0.00007792478,0.0001187647,0.0001966324,0.0004390304,0.01143192,0.0002949532,0.0004456033,0.005029827,0.00002442429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672756,0.001456834,0.005216758,0.0006215438,0.00005195209,0.00004903568,0.02219557,0.0001346883,0.00299791],"genre_scores_gemma":[0.9793887,0.0003386783,0.002522917,0.00007148684,0.00003795367,0.00006032789,0.01729586,0.00002148261,0.0002625848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094061,"threshold_uncertainty_score":0.0371449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138694423224226,"score_gpt":0.4032762179944256,"score_spread":0.2645817947701996,"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."}}