{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007872016,0.0001141384,0.0001221442,0.00004065548,0.0001970583,0.00001639768,0.0001858332,0.0001406276,0.0002504082],"category_scores_gemma":[0.00003153278,0.0001231235,0.0001098065,0.0002498841,0.00005112782,0.000006178165,0.0002594011,0.00005589852,0.00005218828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005418533,"about_ca_system_score_gemma":0.00003121121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065292,"about_ca_topic_score_gemma":0.0001107063,"domain_scores_codex":[0.9992303,0.00004271894,0.0001551615,0.000242806,0.0001479984,0.0001810573],"domain_scores_gemma":[0.9995978,0.00001033348,0.00009643447,0.0001971463,0.00004139218,0.0000568584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000243405,0.00004562732,0.7008327,0.00005471094,0.000214322,0.00001251657,0.0005102239,0.00911762,0.1215969,0.00002628086,0.1614855,0.005860223],"study_design_scores_gemma":[0.003161306,0.0005166387,0.8656944,0.00005852637,0.0001826433,0.00002256576,0.001011557,0.002115442,0.07842744,0.001183888,0.04683776,0.0007878335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968169,0.0001950193,0.0002949723,0.00005986149,0.0006058192,0.0001271054,0.00003744375,0.00002839351,0.001834423],"genre_scores_gemma":[0.998008,0.0001713764,0.0004825979,0.00006233101,0.0001346861,0.000002000505,0.0001729678,0.00001001879,0.0009560839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1648617,"threshold_uncertainty_score":0.5020831,"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."}}