{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003063651,0.0004756605,0.001128283,0.0006902057,0.0004784871,0.0001131338,0.0002077582,0.0002581341,0.000008620705],"category_scores_gemma":[0.002130287,0.0004839176,0.00009694616,0.001212102,0.0004370976,0.0005285028,0.0001170837,0.0003674948,0.000003915427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140385,"about_ca_system_score_gemma":0.001150704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875607,"about_ca_topic_score_gemma":0.03761979,"domain_scores_codex":[0.9956356,0.0006200222,0.001228923,0.0009980641,0.0004242985,0.001093096],"domain_scores_gemma":[0.995957,0.0006757791,0.0005889821,0.0008326131,0.0008296494,0.001115954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001583694,0.0006938014,0.9764366,0.0009929375,0.00004845407,0.00000272149,0.0006383035,0.00001447162,0.008860678,0.00001185433,0.00002792219,0.01068857],"study_design_scores_gemma":[0.006948565,0.0009735685,0.9799196,0.0001393034,0.000002305631,0.00002802886,0.0001663882,0.001771421,0.0005970435,0.000006593387,0.008983853,0.0004633335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935438,0.00111458,0.001090104,0.0002048277,0.0003915018,0.001867727,0.001521387,0.0002243741,0.00004169147],"genre_scores_gemma":[0.9976309,0.0002030835,0.0003512515,0.0007865568,0.0003287465,0.0004058901,0.0001919824,0.00008350222,0.00001812085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03274418,"threshold_uncertainty_score":0.9997612,"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."}}