{"id":"W1974701086","doi":"10.1016/j.foreco.2013.11.001","title":"Spatial genetic structure in 21 populations of butternut, a temperate forest tree (Juglans cinerea L.), is correlated to spatial arrangement, habitat, and land-use history","year":2013,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Plant and Fungal Interactions Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Park Service; U.S. Forest Service; National Institute for Mathematical and Biological Synthesis; Università degli Studi di Ferrara; Arthur J. Schmitt Foundation; Natural Resources Canada; University of Notre Dame","keywords":"Threatened species; Biological dispersal; Ecology; Range (aeronautics); Population; Mantel test; Habitat; Biology; Genetic structure; Geography; Genetic diversity; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004529628,0.0001950884,0.0002263502,0.0009052882,0.0003869639,0.0003861107,0.0003781913,0.0002017074,0.0005175679],"category_scores_gemma":[0.0007370812,0.0001531354,0.0001565235,0.0007330609,0.0007645659,0.0001534746,0.0004174087,0.0001987807,0.0001121822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005308861,"about_ca_system_score_gemma":0.0001704304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196241,"about_ca_topic_score_gemma":0.03667904,"domain_scores_codex":[0.9995403,0.0001533223,0.0000267824,0.0001642528,0.00006869758,0.00004657701],"domain_scores_gemma":[0.9992131,0.0002361421,0.000234712,0.00008086025,0.0001033199,0.0001319877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003527336,0.0001271649,0.9708265,0.00002103423,0.0002206824,0.0001063732,0.001941652,0.0002797944,0.02056221,0.0001239972,0.00006341649,0.005374489],"study_design_scores_gemma":[0.000009235404,0.00005520344,0.9987831,0.000002370719,0.0000199996,0.00009037065,0.000353971,0.0003310669,0.0001984041,0.00004684881,0.0001054819,0.000003947096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998381,0.00002402196,0.00004230743,0.000002320486,2.897977e-7,0.00000144161,0.00002966376,0.000001039255,0.00006082075],"genre_scores_gemma":[0.9996926,0.00001606247,0.00009660213,0.000005676068,9.316211e-7,0.00000337448,0.0001133717,0.000001444236,0.00006994062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196241,"threshold_uncertainty_score":0.02378559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346612431314278,"score_gpt":0.2370221765093145,"score_spread":0.2235560521961717,"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."}}