{"id":"W4294770080","doi":"10.2196/36211","title":"Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Université de Bordeaux; Agence Nationale de la Recherche","keywords":"Outbreak; Disease surveillance; Medicine; Public health; Infectious disease (medical specialty); Environmental health; Public health surveillance; Disease; Virology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01295288,0.0006360976,0.0006229455,0.003469894,0.0001827896,0.001181839,0.0006901556,0.0005088188,0.001113683],"category_scores_gemma":[0.03212501,0.0002326298,0.00113735,0.004077398,0.0005875052,0.001201085,0.0008718591,0.0007001153,0.0002041397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006747752,"about_ca_system_score_gemma":0.0003271162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003556801,"about_ca_topic_score_gemma":0.001805512,"domain_scores_codex":[0.9947667,0.003054558,0.0003995714,0.001024138,0.0005963757,0.000158776],"domain_scores_gemma":[0.9760457,0.01591,0.004291892,0.00257579,0.0009339204,0.0002426591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001432875,0.00008028017,0.8780535,0.0001923591,0.001653409,0.0001786653,0.0002772785,0.0600465,0.0006718514,0.002933905,0.001648904,0.05412007],"study_design_scores_gemma":[0.00001660068,0.0002055089,0.6632826,0.0001076327,0.0003529205,0.0004609211,0.0003605647,0.3229519,0.0008149454,0.007925139,0.00346349,0.00005788503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253684,0.00343198,0.1617398,0.0009963583,0.0001338808,0.000213312,0.004480609,0.0005793995,0.003056255],"genre_scores_gemma":[0.9862524,0.00037786,0.01064593,0.00005071294,0.00005416723,0.0000736366,0.002350118,0.00003700224,0.0001582824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295288,"threshold_uncertainty_score":0.06850219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544351248642537,"score_gpt":0.3043140402252896,"score_spread":0.2888705277388642,"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."}}