{"id":"W2567777194","doi":"10.1093/ofid/ofw269","title":"Geographic Expansion of Lyme Disease in Michigan, 2000–2014","year":2017,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; Centers for Disease Control and Prevention; Bay Area Lyme Foundation; Harvard Catalyst","keywords":"Lyme disease; Medicine; Disease; Gerontology; Virology; Pathology","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":[0.0002428762,0.0001318898,0.00008314002,0.001325016,0.0003875718,0.0004667522,0.0002340309,0.0001255525,0.001453589],"category_scores_gemma":[0.0007019666,0.00008601984,0.0001387079,0.001435039,0.0001991899,0.000278129,0.0004692117,0.0001623856,0.0001142212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126484,"about_ca_system_score_gemma":0.0006624111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.090771,"about_ca_topic_score_gemma":0.2246937,"domain_scores_codex":[0.9997706,0.00004123577,0.00002224123,0.00006655627,0.00005255327,0.00004681068],"domain_scores_gemma":[0.9993766,0.00004945404,0.0002752588,0.00001966073,0.000184876,0.00009416482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003296716,0.0000096606,0.9931364,0.00001941347,0.00002962999,0.00005973129,0.0002038889,0.000128355,0.0006666473,0.00005982946,0.001217399,0.004436085],"study_design_scores_gemma":[0.000001081257,0.000014747,0.9975759,0.0000137696,0.000009143001,0.00008493326,0.0002666481,0.0001802793,0.0001557021,0.00001452045,0.001681108,0.000002220004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905304,0.000410296,0.0002686305,0.0002771424,0.0000123521,0.00002373204,0.005853466,0.0000222153,0.002601665],"genre_scores_gemma":[0.9952957,0.0003165423,0.0004817724,0.00006475992,0.00002249828,0.00003029615,0.003127929,0.000003492015,0.000657046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.090771,"threshold_uncertainty_score":0.1804853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009050154904217475,"score_gpt":0.2605313699338064,"score_spread":0.2514812150295889,"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."}}