{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004907655,0.001082758,0.0006747745,0.00581146,0.001093794,0.004454235,0.002200088,0.0009235999,0.03137369],"category_scores_gemma":[0.008345295,0.0004419743,0.0005896827,0.005399386,0.000499797,0.00408465,0.003534835,0.0008239351,0.01606488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768517,"about_ca_system_score_gemma":0.002856628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007879688,"about_ca_topic_score_gemma":0.005414267,"domain_scores_codex":[0.9954828,0.0008973958,0.0007109887,0.001038763,0.001552499,0.0003176443],"domain_scores_gemma":[0.98949,0.002674999,0.001254212,0.002580531,0.003320232,0.0006800317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003349627,0.0003028434,0.04768788,0.001522124,0.0001289443,0.0003026047,0.001270169,0.003813832,0.003171961,0.03151786,0.2120889,0.6978579],"study_design_scores_gemma":[0.00007839895,0.0001417889,0.0218522,0.0005284325,0.0000568194,0.0006099493,0.0005443043,0.01571856,0.003647708,0.009747719,0.9469916,0.00008250209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05172389,0.0153046,0.1830912,0.008082259,0.003023726,0.004557247,0.1077696,0.03400508,0.5924423],"genre_scores_gemma":[0.3579458,0.01980371,0.2084473,0.005633046,0.003823546,0.003151192,0.1893933,0.00188558,0.2099167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03137369,"threshold_uncertainty_score":0.1049554,"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."}}