{"id":"W2053611279","doi":"10.1002/ece3.1479","title":"Landscape characteristics influencing the genetic structure of greater sage‐grouse within the stronghold of their range: a holistic modeling approach","year":2015,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"U.S. Bureau of Land Management; Wyoming Game and Fish Department; U.S. Geological Survey","keywords":"Biological dispersal; Ecology; Habitat; Range (aeronautics); Resistance (ecology); Genetic structure; Population; Species distribution; Landscape connectivity; Geography; Biology; Genetic diversity","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":[0.000519122,0.0003852447,0.0005900439,0.0005807857,0.0003690664,0.001100144,0.0007016035,0.0005580611,0.00115594],"category_scores_gemma":[0.0007875887,0.0003367497,0.00123041,0.000478393,0.0003472736,0.0006890183,0.0006689041,0.0003912691,0.0001060895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005570058,"about_ca_system_score_gemma":0.0005460841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02693843,"about_ca_topic_score_gemma":0.03548805,"domain_scores_codex":[0.9998834,0.00004624646,0.000004381511,0.00004319471,0.000007287327,0.00001550996],"domain_scores_gemma":[0.999799,0.0001058053,0.00003556335,0.00001925607,0.00001806072,0.00002231957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007796479,0.0001214708,0.1962018,0.00006669051,0.0008175297,0.0002203394,0.0003879028,0.7781669,0.008457722,0.00396166,0.0003603313,0.01115969],"study_design_scores_gemma":[0.000009321427,0.00004827541,0.06260686,0.0000114605,0.0001158108,0.000049191,0.0001509914,0.9352216,0.0001027371,0.001403746,0.0002639112,0.00001619504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853103,0.00007621528,0.0134976,0.0001117141,0.000003314593,0.00001077287,0.0001701968,0.0000360359,0.0007839677],"genre_scores_gemma":[0.9914258,0.0001024314,0.007755895,0.0000438137,0.000005537775,0.00002647519,0.0001727649,0.0000190146,0.0004482363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02693843,"threshold_uncertainty_score":0.0535633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795943205362986,"score_gpt":0.2020041534816255,"score_spread":0.1840447214279956,"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."}}