{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01192101,0.0002435348,0.0004018593,0.004113005,0.0003963269,0.001425501,0.0006667703,0.0004906855,0.002064271],"category_scores_gemma":[0.09803113,0.0001810949,0.0003363385,0.004429381,0.0003009103,0.001574581,0.001179717,0.0007088735,0.0003532998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283515,"about_ca_system_score_gemma":0.001477745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009722754,"about_ca_topic_score_gemma":0.01130903,"domain_scores_codex":[0.9887359,0.005992292,0.00179355,0.001061925,0.00186672,0.0005495423],"domain_scores_gemma":[0.7958344,0.08303715,0.09419718,0.009155888,0.01546422,0.002311182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004304473,0.00005700817,0.9217336,0.0003309525,0.0002005224,0.0001291312,0.00301568,0.001567526,0.0006660035,0.000846768,0.003666374,0.06735599],"study_design_scores_gemma":[0.00001901638,0.0002053464,0.9811587,0.0002438386,0.000105907,0.0002716063,0.00345432,0.003275231,0.00183878,0.0004694207,0.008922217,0.00003570737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611835,0.003286391,0.005561969,0.003219358,0.0002399101,0.0002176341,0.01094292,0.0002694723,0.01507892],"genre_scores_gemma":[0.9946328,0.0007025953,0.001494014,0.0002011606,0.0001207027,0.00009187836,0.002120347,0.00002240117,0.0006140896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192101,"threshold_uncertainty_score":0.06304514,"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."}}