{"id":"W2105433388","doi":"10.1111/j.1365-294x.2006.02878.x","title":"Dispersal and genetic structure in the American marten,<i>Martes americana</i>","year":2006,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Guelph","funders":"","keywords":"Marten; Biological dispersal; Biology; Isolation by distance; Genetic structure; Ecology; Population; Gene flow; Genetic distance; Geographical distance; Habitat; Carnivore; Zoology; Genetic variation; Predation; Demography; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003682017,0.0001406729,0.0001524068,0.00005037659,0.00007067597,0.00002468967,0.0001904801,0.00008340598,0.00002198206],"category_scores_gemma":[0.00001799142,0.0001167778,0.00004531927,0.0001500001,0.0002695147,0.000001785131,0.00007702254,0.0000982123,0.000002955762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007297382,"about_ca_system_score_gemma":0.00002380103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003936392,"about_ca_topic_score_gemma":0.002233972,"domain_scores_codex":[0.999064,0.0001531629,0.0001383976,0.0003024376,0.00009642996,0.0002456078],"domain_scores_gemma":[0.999603,0.00001407325,0.00007936094,0.000245127,0.00002357935,0.00003483267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005346325,0.00003937439,0.7292189,0.000007772295,0.00003316627,0.0001159658,0.00007648257,0.00119274,0.2628182,0.0005770258,0.002802844,0.003064113],"study_design_scores_gemma":[0.000332432,0.0002057008,0.9845282,9.005676e-7,0.00002200063,0.0001138672,0.0001363187,0.00006516496,0.002814096,0.0007394537,0.01088201,0.0001598011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979188,0.0003380046,0.000372456,0.0008358532,0.00006264722,0.0001463803,0.00002270831,0.000005513364,0.0002975659],"genre_scores_gemma":[0.9963943,0.0000285064,0.0009728122,0.002363857,0.00007831447,0.000006706581,0.00009200258,0.00001101066,0.00005251053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2600041,"threshold_uncertainty_score":0.4762059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00252848051843613,"score_gpt":0.1972932188137679,"score_spread":0.1947647382953318,"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."}}