{"id":"W4297774607","doi":"10.1007/bf03405213","title":"The Global Public Health Intelligence Network and Early Warning Outbreak Detection","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"University of Toronto","keywords":"Public health; Outbreak; Global health; Warning system; Credibility; Infectious disease (medical specialty); International Health Regulations; Global network; The Internet; Public health surveillance; Political science; Public relations; Environmental health; Medicine; Disease; Coronavirus disease 2019 (COVID-19); Computer science; Telecommunications; Virology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00669299,0.0004976298,0.0004603105,0.003563508,0.0005673073,0.00288387,0.0007639574,0.001137623,0.002710996],"category_scores_gemma":[0.02848108,0.0002963894,0.0003168036,0.002773679,0.000719995,0.00304283,0.001650518,0.001065111,0.0003921509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174303,"about_ca_system_score_gemma":0.002759379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238109,"about_ca_topic_score_gemma":0.0256151,"domain_scores_codex":[0.9969586,0.001873979,0.0001329611,0.0002627908,0.0006347351,0.0001368612],"domain_scores_gemma":[0.9853311,0.009387086,0.001343117,0.001261569,0.00218969,0.0004874061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004537822,0.0001774209,0.2273405,0.0004114536,0.0002759428,0.0004300088,0.0003252412,0.03878963,0.0007323837,0.09185391,0.105521,0.5336887],"study_design_scores_gemma":[0.0001997536,0.0003579103,0.1470672,0.0007615622,0.0004349717,0.001068311,0.001502043,0.3864617,0.0040147,0.2308914,0.2271072,0.0001331833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.256891,0.02536811,0.2821085,0.1583887,0.003704343,0.0009550278,0.02907029,0.002729966,0.2407841],"genre_scores_gemma":[0.9216852,0.004054635,0.0600245,0.002530952,0.0007684188,0.0002496118,0.005261421,0.00006365078,0.005361652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0238109,"threshold_uncertainty_score":0.04734462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860613809635945,"score_gpt":0.2939615298437185,"score_spread":0.2553553917473591,"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."}}