{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003917203,0.0005383746,0.002194125,0.0009728897,0.0003873964,0.0002707644,0.0002177498,0.0001703543,0.00009724221],"category_scores_gemma":[0.001854575,0.0004105455,0.0003734359,0.002835086,0.0002889987,0.0007789618,0.0001604775,0.0002042719,0.000009380451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883447,"about_ca_system_score_gemma":0.000857308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004063575,"about_ca_topic_score_gemma":0.001290624,"domain_scores_codex":[0.9945706,0.0009003159,0.001203596,0.001325141,0.0007039952,0.001296335],"domain_scores_gemma":[0.9943373,0.001485261,0.0007817543,0.0009716759,0.0007044843,0.001719503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005355303,0.0001409366,0.9542789,0.0003732659,0.0020314,0.000009273273,0.001492856,0.000007563934,0.00009727552,0.0001139281,0.0004752684,0.04044373],"study_design_scores_gemma":[0.004208549,0.0007102382,0.9570471,0.00007145967,0.0001462583,0.00002743592,0.0006339667,0.01907155,0.000002340075,0.00006413122,0.01739978,0.0006171963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755222,0.004229076,0.008646076,0.007053157,0.0001125089,0.002791999,0.001190036,0.0002233302,0.0002316411],"genre_scores_gemma":[0.9890932,0.0004614987,0.002779427,0.006089098,0.0003184965,0.0005575356,0.0005650953,0.00004114598,0.00009450202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03982653,"threshold_uncertainty_score":0.9998347,"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."}}