{"id":"W2770981113","doi":"10.2196/publichealth.8015","title":"Syndromic Surveillance Models Using Web Data: The Case of Influenza in Greece and Italy Using Google Trends","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hellenic Center for Disease Control & Prevention","keywords":"The Internet; Outbreak; Geography; Population; Correlation; Demography; Computer science; Medicine; Environmental health; World Wide Web; Virology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003906751,0.0008230178,0.0005824471,0.002157923,0.0002781076,0.001188397,0.0008738696,0.0008791341,0.0008531485],"category_scores_gemma":[0.008667075,0.0002981702,0.00120491,0.001585373,0.0004117421,0.0008461549,0.0007878303,0.0007182498,0.0002365696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066358,"about_ca_system_score_gemma":0.000693357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06872476,"about_ca_topic_score_gemma":0.03160486,"domain_scores_codex":[0.999084,0.0005134673,0.00006993819,0.0001804592,0.00007317446,0.00007898294],"domain_scores_gemma":[0.9959087,0.002696336,0.0007411081,0.0002238396,0.0003241091,0.0001058819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003256375,0.0003232392,0.4837821,0.0001606052,0.0005417066,0.0009917236,0.0003659626,0.480731,0.000433031,0.002148501,0.002383724,0.02781279],"study_design_scores_gemma":[0.00001359938,0.000078574,0.04801769,0.00002726039,0.00005758934,0.000115824,0.00021232,0.9502959,0.0001068471,0.000722871,0.0003363675,0.00001515019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897764,0.0003927467,0.006497893,0.0006565656,0.00003723772,0.00006937834,0.001336782,0.0001352722,0.001097631],"genre_scores_gemma":[0.9946029,0.0001792424,0.003682762,0.00003370358,0.00002929698,0.00004006343,0.001054339,0.000007399444,0.0003703692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06872476,"threshold_uncertainty_score":0.1366494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610787041681122,"score_gpt":0.4032517760547387,"score_spread":0.2421730718866265,"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."}}