{"id":"W2533740697","doi":"10.2196/publichealth.5901","title":"Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis","year":2016,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Public health; Disease control; Public health surveillance; Page view; Disease surveillance; Medicine; Health care; Internet privacy; Computer science; World Wide Web; The Internet; Environmental health; Political science; Nursing; Web development","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":[0.0188747,0.001098985,0.001221348,0.008200892,0.0006861538,0.00303719,0.001201881,0.001324972,0.001278381],"category_scores_gemma":[0.08664452,0.0003732953,0.00310988,0.004648231,0.0006245063,0.00493398,0.00175566,0.001354451,0.0005457397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604029,"about_ca_system_score_gemma":0.000780218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131836,"about_ca_topic_score_gemma":0.01155179,"domain_scores_codex":[0.9847135,0.01011365,0.001068854,0.001253895,0.002522925,0.0003272707],"domain_scores_gemma":[0.8931095,0.08568528,0.005159962,0.002949101,0.0119962,0.001099957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01265447,0.00315848,0.6986267,0.007176499,0.01143732,0.0004452154,0.004934081,0.01599676,0.001823485,0.003024411,0.01046176,0.2302608],"study_design_scores_gemma":[0.0007566977,0.007431196,0.6845267,0.001645844,0.007564665,0.0006396387,0.008842838,0.2709874,0.003159098,0.002974099,0.01105968,0.0004121437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664724,0.008914949,0.01085592,0.0005612081,0.00021714,0.001369937,0.005363405,0.0003449086,0.005900061],"genre_scores_gemma":[0.9711547,0.001503966,0.01864408,0.0001457591,0.0001246706,0.0009376355,0.006771709,0.00007685189,0.0006405771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0188747,"threshold_uncertainty_score":0.09982008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2409646490251016,"score_gpt":0.4564590455823578,"score_spread":0.2154943965572562,"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."}}