{"id":"W1657754028","doi":"10.1016/j.cmi.2014.12.017","title":"New digital technologies for the surveillance of infectious diseases at mass gathering events","year":2014,"lang":"en","type":"review","venue":"Clinical Microbiology and Infection","topic":"Travel-related health issues","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Children's Hospital; St. Michael's Hospital","funders":"U.S. National Library of Medicine; Wellcome Trust","keywords":"Disease surveillance; Outbreak; Infectious disease (medical specialty); Mobile phone; The Internet; Emerging infectious disease; Computer science; Host (biology); Disease; Computer security; Internet privacy; Medicine; Telecommunications; Virology; Biology; World Wide Web; 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":[0.001205645,0.001125793,0.001577682,0.004457033,0.0003494578,0.001535638,0.001055577,0.001526076,0.00467097],"category_scores_gemma":[0.0026989,0.0003337735,0.0009881303,0.00397087,0.0007494611,0.002443517,0.001136055,0.001816104,0.001308362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000850291,"about_ca_system_score_gemma":0.002004896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128963,"about_ca_topic_score_gemma":0.004952284,"domain_scores_codex":[0.9994714,0.0001178968,0.00008036401,0.00008070994,0.0002107183,0.00003892366],"domain_scores_gemma":[0.9975587,0.001619708,0.0002741776,0.00003790474,0.0004287728,0.00008056609],"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":[0.00003372215,0.00005521776,0.0004082613,0.02350754,0.0001021308,0.00009425547,0.00007469823,0.0002046479,0.0004906053,0.002173098,0.01329061,0.9595653],"study_design_scores_gemma":[0.00002332636,0.000137876,0.003035716,0.02389774,0.0004729615,0.001315074,0.0003270777,0.0002098336,0.0006110758,0.002746329,0.9671701,0.00005274444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000828299,0.9987423,0.0001052295,0.0002343739,0.0001255286,0.000006822196,0.00002286718,0.000004755648,0.0006754216],"genre_scores_gemma":[0.0006098616,0.998569,0.0002331425,0.0001819014,0.0001545862,0.000005409761,0.00002344822,8.406948e-7,0.0002218873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00467097,"threshold_uncertainty_score":0.01562595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935499358241914,"score_gpt":0.3983392012684417,"score_spread":0.3489842076860226,"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."}}