{"id":"W2168861738","doi":"10.3201/eid1807.120249","title":"Timeliness of Nongovernmental versus Governmental Global Outbreak Communications","year":2012,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. National Library of Medicine","keywords":"Outbreak; Infectious disease (medical specialty); Public health; Environmental health; Medicine; Disease; Virology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008858461,0.0001957166,0.0003099351,0.00003539607,0.0001218698,0.00001233024,0.0002150403,0.00004407825,0.0004240376],"category_scores_gemma":[0.0002414539,0.0001983275,0.0002023628,0.00027479,0.0002059986,0.0002540573,0.0003313561,0.0000893718,0.0001572976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007880427,"about_ca_system_score_gemma":0.00008522952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002047852,"about_ca_topic_score_gemma":0.00005278996,"domain_scores_codex":[0.9985521,0.00007118722,0.0003175111,0.000193648,0.0005291183,0.0003364536],"domain_scores_gemma":[0.9983878,0.00009869369,0.0001785992,0.0008991581,0.00007019522,0.0003656086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003497088,0.001781747,0.9863544,0.0000777325,0.0002763767,0.000003920791,0.00003941188,0.000006509712,0.000207843,0.0007641113,0.005535977,0.004602294],"study_design_scores_gemma":[0.003760399,0.0001672291,0.9713413,0.00007682379,0.0005227447,0.00002659314,0.0003878713,0.000249784,0.0001743066,0.00001413288,0.02301451,0.0002643282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179735,0.002886336,0.0001372924,0.0001981506,0.001009356,0.000406306,0.003237918,0.0003567701,0.07379433],"genre_scores_gemma":[0.9986379,0.0001039194,0.0001843387,0.0001580099,0.0002507769,0.00003683689,0.0005089508,0.00002589056,0.00009335686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08066438,"threshold_uncertainty_score":0.8087559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813229160326166,"score_gpt":0.3207432524714487,"score_spread":0.302610960868187,"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."}}