{"id":"W4386099101","doi":"10.1136/bmj.p1946","title":"We need a universally endorsed definition of a pandemic for the Pandemic Accord to be effective","year":2023,"lang":"en","type":"editorial","venue":"BMJ","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Pandemic; Scope (computer science); Negotiation; Coronavirus disease 2019 (COVID-19); Focus (optics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Influenza pandemic; Political science; Medicine; Virology; Law; Disease; Infectious disease (medical specialty); Pathology","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":[0.03866446,0.004703238,0.006802836,0.005633665,0.008704544,0.01983452,0.007628704,0.04633912,0.009734482],"category_scores_gemma":[0.1387539,0.002034664,0.004565902,0.003367316,0.009901017,0.01209335,0.002738136,0.06346394,0.0121477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006784275,"about_ca_system_score_gemma":0.01627559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00817576,"about_ca_topic_score_gemma":0.01734417,"domain_scores_codex":[0.9689996,0.008524235,0.003757797,0.001693417,0.01587662,0.001148304],"domain_scores_gemma":[0.8629209,0.08211757,0.00446381,0.004369322,0.03755672,0.008571627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002635435,0.00001688489,0.00001799574,0.0003003279,0.00002342755,0.00004287837,0.00004676784,0.00002836662,0.00002190915,0.001603494,0.9941135,0.003758067],"study_design_scores_gemma":[0.00009560164,0.0000305632,0.0002307451,0.001139436,0.00007749953,0.00007408109,0.0002073194,0.0002540557,0.00007648677,0.008819609,0.988938,0.00005663631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001258096,0.002227997,0.0001173898,0.05842042,0.9381436,0.00002110663,0.0000232907,0.00004440593,0.0009892175],"genre_scores_gemma":[0.0004314188,0.002894727,0.0004519833,0.08777907,0.9015833,0.00008154887,0.00003047511,0.00007841206,0.006669085],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04633912,"threshold_uncertainty_score":0.2044796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06192807406737683,"score_gpt":0.3786898324970837,"score_spread":0.3167617584297069,"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."}}