{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03895393,0.0007447131,0.0006372748,0.001434636,0.0004386808,0.001095204,0.001443244,0.0006215047,0.0005886104],"category_scores_gemma":[0.0659679,0.0004229372,0.000748647,0.001088239,0.0006463342,0.001582859,0.001201675,0.0006260179,0.00006702587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002599001,"about_ca_system_score_gemma":0.001955599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04271021,"about_ca_topic_score_gemma":0.03858259,"domain_scores_codex":[0.9670889,0.02615854,0.001158426,0.001399504,0.003907761,0.0002868339],"domain_scores_gemma":[0.9427789,0.04395841,0.004547043,0.001367656,0.00694091,0.000407234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00472851,0.002205691,0.5850812,0.001303604,0.001063148,0.0002544257,0.002468086,0.04929795,0.002913495,0.002384387,0.001146462,0.3471531],"study_design_scores_gemma":[0.0008421612,0.02247994,0.3628015,0.0004155187,0.0006651664,0.0003433127,0.00195398,0.600003,0.004177582,0.001456874,0.004702094,0.0001589783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598551,0.001260267,0.03428232,0.0003900842,0.00009721257,0.001276324,0.0004099362,0.0001024676,0.00232627],"genre_scores_gemma":[0.9351655,0.0009136333,0.06184913,0.0001351058,0.00005821821,0.0007329739,0.0007081053,0.00001043688,0.0004269346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04271021,"threshold_uncertainty_score":0.2060105,"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."}}