{"id":"W2905596073","doi":"10.2196/10842","title":"Text-Based Illness Monitoring for Detection of Novel Influenza A Virus Infections During an Influenza A (H3N2)v Virus Outbreak in Michigan, 2016: Surveillance and Survey","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; U.S. Department of Health and Human Services","keywords":"Outbreak; Influenza-like illness; Outreach; Pandemic; Disease surveillance; Medicine; Environmental health; Public health; Influenza A virus; Public health surveillance; Virology; Virus; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Nursing; Internal medicine","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":[0.001063689,0.0004216961,0.0001339944,0.0008429957,0.0003443796,0.0003455715,0.0004884169,0.0003598111,0.00118731],"category_scores_gemma":[0.002057194,0.0001374116,0.0001769747,0.0004851047,0.000119313,0.0005442527,0.0004397148,0.0002512668,0.0004695162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005800115,"about_ca_system_score_gemma":0.0004352205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637014,"about_ca_topic_score_gemma":0.03453984,"domain_scores_codex":[0.9994917,0.0001764499,0.00006110876,0.000114723,0.000108832,0.00004719418],"domain_scores_gemma":[0.9985521,0.0002064607,0.000464537,0.00007030556,0.0004713608,0.0002352155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054031,0.0003426831,0.9760957,0.00006133057,0.00003030503,0.00009255828,0.0005538152,0.0002127906,0.003791089,0.0000182877,0.00241374,0.01628215],"study_design_scores_gemma":[0.00001706107,0.0004791617,0.9914307,0.00002841111,0.000025455,0.0001368708,0.0006891727,0.004102697,0.00163248,0.0000195528,0.001427569,0.00001087916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911209,0.00006902844,0.001112828,0.0001714186,0.00001164946,0.0005433445,0.005589042,0.000110787,0.001271124],"genre_scores_gemma":[0.9850029,0.000150299,0.006756,0.0002065293,0.0000584573,0.0008217967,0.005849017,0.00001233994,0.001142662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637014,"threshold_uncertainty_score":0.03254974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04998771358455936,"score_gpt":0.3559063707147772,"score_spread":0.3059186571302178,"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."}}