{"id":"W4409530565","doi":"10.1093/jme/tjaf010","title":"Genetic diversity and phylogeographic relationships of <i>Dermacentor variabilis</i> (Acari: Ixodidae) within an established population in southern Manitoba (Canada), and the prevalence of <i>Rickettsia montanensis</i> and <i>Francisella</i>-like endosymbionts","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Entomology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; University of Saskatchewan","funders":"Beef Cattle Research Council","keywords":"Biology; Dermacentor variabilis; Population; Ixodidae; Nucleotide diversity; Phylogeography; Tick; Genetic diversity; Dermacentor; Zoology; Genetics; Ecology; Phylogenetics; Haplotype; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002826508,0.0001603656,0.0001470863,0.0009759779,0.0006047748,0.0005999451,0.0003906244,0.0001673885,0.0006453644],"category_scores_gemma":[0.000475374,0.0001829694,0.0001152232,0.0009074057,0.0007050581,0.0001205151,0.0003115741,0.0002568759,0.0001009941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00287431,"about_ca_system_score_gemma":0.001635466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6746888,"about_ca_topic_score_gemma":0.8199475,"domain_scores_codex":[0.9998038,0.00002704808,0.000009715854,0.00005597158,0.00004634503,0.00005705654],"domain_scores_gemma":[0.9996719,0.00004009495,0.00008033386,0.00001510235,0.0001027543,0.00008984583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004678557,0.00002271554,0.9917787,0.000008966934,0.00003155254,0.0000498475,0.001230097,0.00008358121,0.003779136,0.00004742287,0.00005785936,0.00286348],"study_design_scores_gemma":[0.000002855792,0.0000171593,0.9989228,0.000003883566,0.000008034423,0.00005618827,0.0006237645,0.0001296597,0.00008612614,0.000008245231,0.0001392467,0.000002099209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997202,0.00004994628,0.00002844618,0.000008507309,3.618346e-7,0.000003946927,0.00005351912,7.797284e-7,0.000134257],"genre_scores_gemma":[0.9994211,0.00008320204,0.0001289757,0.00001136417,0.000001141236,0.000004255975,0.0001846265,8.172476e-7,0.0001645559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3253112,"threshold_uncertainty_score":0.6544541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008649603334904115,"score_gpt":0.2101692674184474,"score_spread":0.2015196640835433,"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."}}