{"id":"W3037703327","doi":"10.1017/cjn.2020.129","title":"Low Seroprevalence of Lyme Disease Among Multiple Sclerosis Patients in New Brunswick","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Horizon Health Network; Nova Scotia Health Authority; Dalhousie University","funders":"Mount Allison University; Mitacs","keywords":"Lyme Neuroborreliosis; Neuroborreliosis; Seroprevalence; Lyme disease; Medicine; Serology; Multiple sclerosis; Cohort; Disease; Borrelia burgdorferi; LYME; Cohort study; Internal medicine; Immunology; Antibody","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001160318,0.0003363611,0.0005955367,0.0006946538,0.0009669489,0.0001946612,0.002049281,0.0001764713,0.0003759228],"category_scores_gemma":[0.006105813,0.0002494876,0.000282157,0.001454117,0.006289652,0.0009863366,0.0001040268,0.001048091,0.00001144485],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580288,"about_ca_system_score_gemma":0.007331403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01151695,"about_ca_topic_score_gemma":0.2037199,"domain_scores_codex":[0.9957143,0.001110425,0.0010717,0.0005773888,0.0003257663,0.001200409],"domain_scores_gemma":[0.9961413,0.0005859968,0.0009448209,0.0001477735,0.0003790391,0.001801061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001965375,0.00007553773,0.9930216,0.00001280976,0.0000157864,0.0005927471,0.0003193067,0.003727436,0.0002290399,0.0001263176,0.0005171143,0.001165759],"study_design_scores_gemma":[0.0007724061,0.01832539,0.9784228,0.00008241159,0.00003893237,0.0003857804,0.00007799604,0.0002940006,0.0004362291,0.0007223123,0.0001984834,0.0002433003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953666,0.00167529,0.00001500967,0.001766901,0.0007267331,0.0002108356,0.00002823731,0.00001871089,0.0001916637],"genre_scores_gemma":[0.9970699,0.0003575653,0.0001262782,0.002321401,0.0000980343,0.000001129578,9.35741e-7,0.00001201982,0.00001273217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.192203,"threshold_uncertainty_score":0.9999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065771908529902,"score_gpt":0.226407524178262,"score_spread":0.1957498050929629,"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."}}