{"id":"W4407710478","doi":"10.3390/ani15040578","title":"High Diversity and Low Genetic Differentiation Among Geographic Populations of Myotis yumanensis in Western Canada","year":2025,"lang":"en","type":"article","venue":"Animals","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada; McMaster University","funders":"Ministry of Forests, Lands and Natural Resource Operations; Habitat Conservation Trust Foundation; McMaster University; Natural Sciences and Engineering Research Council of Canada; Wildlife Conservation Society","keywords":"Genetic diversity; Gene flow; Population; Biology; Insectivore; Zoology; Genetic structure; White (mutation); Disease; Geography; Genetic variation; Ecology; Evolutionary biology; Demography; Genetics; Medicine; Gene; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003935757,0.00004774173,0.0001157056,0.00001381548,0.0002618146,0.000002618182,0.00005189574,0.00005391915,0.00002190451],"category_scores_gemma":[0.00001494243,0.00002195051,0.00001520452,0.0001208304,0.00006857672,0.00001958289,0.0001631386,0.0000348791,2.200222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000889424,"about_ca_system_score_gemma":0.000003167619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4700543,"about_ca_topic_score_gemma":0.977927,"domain_scores_codex":[0.9996309,0.0000365113,0.0001005728,0.0001107707,0.00002943583,0.00009177998],"domain_scores_gemma":[0.9998446,0.00006694079,0.00003837012,0.00001761849,0.00001992582,0.00001253123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000486739,0.00001187613,0.9979144,0.000003761937,0.00001308083,9.95006e-7,0.00002423128,0.000001665076,0.001160536,0.00008051904,0.00005119975,0.0007328872],"study_design_scores_gemma":[0.00005873719,0.00003264716,0.9992048,0.00000882837,0.00001352373,1.643118e-7,0.00006199594,0.000006955363,0.0001299816,0.0004330096,0.0000112797,0.00003807809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990705,0.0001768247,3.643503e-7,0.0005833461,0.00006642304,0.00006353492,0.00001514535,0.000005175077,0.00001867673],"genre_scores_gemma":[0.9997669,0.00007503159,0.000006504692,0.00008855461,0.000007921064,0.00000268804,0.000008955062,1.114914e-7,0.00004327235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5078727,"threshold_uncertainty_score":0.5334747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390226801943072,"score_gpt":0.1901386275115202,"score_spread":0.1762363594920895,"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."}}