{"id":"W4407353710","doi":"10.2460/ajvr.24.10.0300","title":"Of Lyme disease and machine learning in a One Health world","year":2025,"lang":"en","type":"article","venue":"American Journal of Veterinary Research","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"","keywords":"Lyme disease; Public health; Disease; LYME; Machine learning; Population; Environmental health; Artificial intelligence; Computer science; Medicine; Immunology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002823562,0.0003718749,0.0003540836,0.001285482,0.0005728842,0.002399498,0.0004095144,0.001080578,0.002664755],"category_scores_gemma":[0.008990016,0.0001362487,0.0002329672,0.001674486,0.002899952,0.002874207,0.0008409843,0.001209564,0.0003164312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003397106,"about_ca_system_score_gemma":0.002878807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0308314,"about_ca_topic_score_gemma":0.02848807,"domain_scores_codex":[0.9985832,0.0007166796,0.0000552054,0.0001983848,0.0003552524,0.00009134649],"domain_scores_gemma":[0.9936859,0.004562785,0.0006981588,0.0002148341,0.0006416803,0.0001966044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003019799,0.0002736658,0.1552138,0.001671784,0.0003520976,0.0005745548,0.001762775,0.05279239,0.00108522,0.1952054,0.0546225,0.5361437],"study_design_scores_gemma":[0.00005415531,0.0004216037,0.1119576,0.002810845,0.0001317024,0.00091727,0.003187171,0.1927376,0.001158336,0.5206338,0.1658375,0.0001525415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.190192,0.2884425,0.0732344,0.3520923,0.00279955,0.0001245825,0.001482424,0.0003345924,0.09129761],"genre_scores_gemma":[0.923168,0.04499162,0.0172932,0.005505702,0.0019647,0.00006592451,0.0003252642,0.00002687033,0.006658752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0308314,"threshold_uncertainty_score":0.06130385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425374574413855,"score_gpt":0.4577695760670152,"score_spread":0.3152321186256297,"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."}}