{"id":"W4402483568","doi":"10.2196/56571","title":"Lyme Disease Under-Ascertainment During the COVID-19 Pandemic in the United States: Retrospective Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyme disease; Pandemic; Medicine; Disease; Epidemiology; Demography; Coronavirus disease 2019 (COVID-19); Public health; Disease surveillance; Environmental health; Infectious disease (medical specialty); Virology; Pathology","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":[0.001841025,0.0003463855,0.000321622,0.001330081,0.00088952,0.0007005005,0.0007656636,0.0004268011,0.0009618413],"category_scores_gemma":[0.005132789,0.0005130327,0.0004821893,0.001831452,0.0005061807,0.0006740228,0.001122982,0.0007305584,0.0002083407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356448,"about_ca_system_score_gemma":0.001589745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1167083,"about_ca_topic_score_gemma":0.1587847,"domain_scores_codex":[0.9983447,0.0004163775,0.0002585972,0.0004724853,0.0002904502,0.0002173797],"domain_scores_gemma":[0.9948102,0.0008570431,0.00206471,0.0006832263,0.001173347,0.0004115257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001726491,0.00001151844,0.9989322,0.000009638813,0.00002420719,0.00004859536,0.0001498931,0.00005290782,0.00004782613,0.00001433599,0.0003029273,0.0003886749],"study_design_scores_gemma":[0.00000194505,0.00004232687,0.9976529,0.00003236795,0.0000277238,0.0001959847,0.0009910994,0.0003850351,0.00005687333,0.00001535209,0.0005909029,0.000007303589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955547,0.0002173396,0.000378853,0.0000769134,0.000007439394,0.00005009802,0.003267856,0.00001252834,0.0004342279],"genre_scores_gemma":[0.9960099,0.0001910722,0.0002601536,0.0001226453,0.000006947882,0.00007193349,0.003199996,0.000006091932,0.0001312325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1167083,"threshold_uncertainty_score":0.2320579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359377057012435,"score_gpt":0.3257701345200229,"score_spread":0.2921763639498985,"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."}}