{"id":"W4380208034","doi":"10.1002/ecs2.4536","title":"Geographic isolation reduces genetic diversity of a wide‐ranging terrestrial vertebrate, <i>Canis lupus</i>","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; University of Alberta; Ministry of Forests","funders":"Eurostars; Alaska Department of Fish and Game; British Broadcasting Corporation; Government of Nunavut; National Geographic Society; Massachusetts Department of Fish and Game","keywords":"Biological dispersal; Ecology; Range (aeronautics); Isolation by distance; Species richness; Genetic diversity; Biology; Generalist and specialist species; Habitat; Genetic structure; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003096239,0.0001668466,0.0001723861,0.0002692691,0.00021989,0.0004963209,0.0002441907,0.0001809534,0.00118024],"category_scores_gemma":[0.0009816048,0.0001000861,0.0002001056,0.0001556267,0.0003833428,0.0002133157,0.0004531078,0.0002083874,0.00007832712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640946,"about_ca_system_score_gemma":0.0001830663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759762,"about_ca_topic_score_gemma":0.005765818,"domain_scores_codex":[0.9998395,0.00005335498,0.00001213112,0.00004449845,0.00002258395,0.00002791393],"domain_scores_gemma":[0.9993302,0.0002328079,0.000241113,0.00005286105,0.00004136283,0.0001017125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002765067,0.0001632982,0.9199544,0.00008350294,0.0005303962,0.0002745235,0.0003366131,0.01093264,0.05491597,0.0008481035,0.0002926962,0.01139145],"study_design_scores_gemma":[0.00001777484,0.0002649468,0.9723909,0.00001588153,0.000182687,0.0002427017,0.0003598587,0.02157325,0.003577582,0.0008356204,0.0005281225,0.00001084536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994221,0.00002039422,0.0002004596,0.00001508674,5.79381e-7,7.472428e-7,0.00001249948,0.000006241587,0.0003220738],"genre_scores_gemma":[0.99981,0.00001043509,0.0001008805,0.00001134623,0.000001104127,7.963496e-7,0.00001712596,0.000001544942,0.00004678156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003759762,"threshold_uncertainty_score":0.007475793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00990041239503803,"score_gpt":0.2112578439646101,"score_spread":0.201357431569572,"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."}}