{"id":"W2289839884","doi":"10.1111/zph.12261","title":"Lyme Disease Surveillance Using Sampling Estimation: Evaluation of an Alternative Methodology in New York State","year":2016,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyme disease; Estimation; Disease surveillance; Medicine; Quarter (Canadian coin); Environmental health; Demography; Workload; Public health; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002214448,0.0001222355,0.0002918293,0.0001823917,0.00009716451,0.00001615494,0.00009026794,0.0000592426,0.0002284573],"category_scores_gemma":[0.001148423,0.00009524276,0.00003107657,0.0001634817,0.0001234862,0.0002376978,0.00003536349,0.00006990172,0.000006664428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712561,"about_ca_system_score_gemma":0.001784974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197463,"about_ca_topic_score_gemma":0.001554393,"domain_scores_codex":[0.9969457,0.001976785,0.0003749071,0.0002972362,0.00006498647,0.0003404181],"domain_scores_gemma":[0.9986563,0.0005873014,0.0002689475,0.0002036509,0.0001404587,0.0001433119],"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":[0.000203128,0.0002619929,0.2093962,0.00007937328,0.0001131572,8.979005e-7,0.001271226,0.0011595,0.002356343,0.002583581,0.00009756174,0.782477],"study_design_scores_gemma":[0.004560725,0.0004871236,0.9739483,0.0001676402,0.00003754476,0.00003324926,0.0003448668,0.004012777,0.0004001236,0.01370277,0.00196377,0.0003411027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648567,0.005251531,0.02784961,0.001204852,0.0003700063,0.0003110602,0.0001047092,0.00003340399,0.0000180855],"genre_scores_gemma":[0.9979742,0.0001704064,0.001547316,0.0001645148,0.00004171294,0.000009279701,0.00005786985,0.00001149712,0.00002316156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7821359,"threshold_uncertainty_score":0.9994137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2658825913894423,"score_gpt":0.4119734449197835,"score_spread":0.1460908535303412,"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."}}