{"id":"W2590519432","doi":"10.1002/9781119085751.ch2","title":"Nontraditional infectious diseases surveillance systems","year":2017,"lang":"en","type":"other","venue":"Infectious Diseases","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Public health; Outbreak; Public health surveillance; Newspaper; Warning system; Environmental health; Geography; Internet privacy; Medical emergency; Medicine; Business; Computer security; Data science; Computer science; Advertising; Telecommunications; Virology; Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001184657,0.0007277987,0.001335434,0.0005452763,0.0003727915,0.0003230971,0.0002778289,0.0004293168,0.00486828],"category_scores_gemma":[0.0007003872,0.0006630826,0.0005830019,0.0001837441,0.0003378094,0.0001336414,0.00008099586,0.0003706523,0.0006632989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577886,"about_ca_system_score_gemma":0.001847074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002676897,"about_ca_topic_score_gemma":0.0003465601,"domain_scores_codex":[0.9968829,0.0001827994,0.000454796,0.0008886023,0.000805934,0.0007849991],"domain_scores_gemma":[0.9958737,0.0002042335,0.0006772083,0.001447891,0.000212149,0.001584778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005930347,0.001115402,0.158042,0.002108435,0.0006651783,0.0003516596,0.000005875208,0.000013826,2.888068e-7,0.0016437,0.8294588,0.006535567],"study_design_scores_gemma":[0.00270793,0.0003431422,0.09842152,0.001308324,0.0007644564,0.00026475,0.00001145144,0.00009233051,6.403367e-8,0.0004154702,0.8949348,0.0007357419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008485739,0.02276206,0.0001936213,0.0002794881,0.005166897,0.002043033,0.008779812,0.002426755,0.9574997],"genre_scores_gemma":[0.5620212,0.003270908,0.000006406251,0.001259213,0.01048946,0.0006535309,0.004233793,0.001081988,0.4169835],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5611726,"threshold_uncertainty_score":0.9995821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195127006787539,"score_gpt":0.2793775463739626,"score_spread":0.2674262763060872,"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."}}