{"id":"W4307628600","doi":"10.5281/zenodo.7265194","title":"Population genetics of Ixodes scapularis Say, 1821 in the United States using microsatellite loci: more than a North-South phenomenon.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Ixodes scapularis; Microsatellite; Population genetics; Phenomenon; Evolutionary biology; Population; Biology; Genetics; Geography; Demography; Physics; Sociology; Borrelia burgdorferi; Gene; Allele","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000445092,0.0001159138,0.0001449667,0.0007285901,0.0002356358,0.0003103737,0.0001467994,0.0001238443,0.003743555],"category_scores_gemma":[0.0007982806,0.0001126612,0.0001478041,0.001167995,0.00009855067,0.0001598767,0.000258404,0.0002002573,0.000564396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243152,"about_ca_system_score_gemma":0.0002063963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413599,"about_ca_topic_score_gemma":0.05081957,"domain_scores_codex":[0.9998413,0.00003282074,0.0000136084,0.00007803393,0.00002223534,0.00001185826],"domain_scores_gemma":[0.9996316,0.00009966007,0.000097695,0.00003751458,0.00009073823,0.00004278868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001717895,0.00003739665,0.9490957,0.0000760718,0.0002204793,0.00009392413,0.0009075709,0.0004756787,0.003753599,0.0003065179,0.01522864,0.02963263],"study_design_scores_gemma":[0.000004758264,0.00001482131,0.9974124,0.00001819634,0.00002536622,0.00005155566,0.0002711301,0.0001603144,0.0001275048,0.00005143863,0.001859,0.000003595544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611278,0.0004754046,0.0009456751,0.0002990472,0.00003335637,0.00003311194,0.03213667,0.00007569532,0.004873181],"genre_scores_gemma":[0.9747897,0.000419746,0.001888733,0.0001034613,0.0000192734,0.00005868322,0.02051927,0.00003938881,0.002161895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02413599,"threshold_uncertainty_score":0.04799098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067400090727028,"score_gpt":0.2401409569924952,"score_spread":0.1894669560852249,"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."}}