{"id":"W1945721908","doi":"10.1007/bf03405213","title":"The Global Public Health Intelligence Network and early warning outbreak detection: a Canadian contribution to global public health.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":189,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","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","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003312571,0.0002104659,0.0003781758,0.0001011383,0.001594239,0.0003662765,0.0001897903,0.00009034717,0.000003764574],"category_scores_gemma":[0.001954912,0.0001642672,0.00006517323,0.001404793,0.000206492,0.000180338,0.0001450359,0.0003005701,0.00002388396],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005038332,"about_ca_system_score_gemma":0.001425585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2354501,"about_ca_topic_score_gemma":0.5546954,"domain_scores_codex":[0.9956328,0.0003070512,0.0005148919,0.0004087825,0.0005610817,0.002575359],"domain_scores_gemma":[0.9969571,0.0001130015,0.0001470649,0.0003139593,0.0004768131,0.001992034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007830947,0.00002710704,0.2767716,0.00002711038,0.00008007594,0.000009943497,0.0001176945,0.00002003214,1.222786e-7,0.00643055,0.004117951,0.7123194],"study_design_scores_gemma":[0.0002844073,0.0001264493,0.6646691,0.00001275156,0.000004141607,0.00003559458,0.00008552068,0.0000473715,0.000001184588,0.0004131235,0.3342311,0.00008924747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.339534,0.04031485,0.01187737,0.5886812,0.001626963,0.01022001,0.0002695494,0.0005143764,0.006961645],"genre_scores_gemma":[0.9916571,0.0002674669,0.00008487325,0.006163512,0.0006515695,0.001034347,0.00001255282,0.00001224631,0.0001162952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7122302,"threshold_uncertainty_score":0.9997056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07573348898766227,"score_gpt":0.3318292591236327,"score_spread":0.2560957701359704,"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."}}