{"id":"W2120390620","doi":"10.3389/fgene.2015.00275","title":"How spatio-temporal habitat connectivity affects amphibian genetic structure","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Forest Service; Wyoming Space Grant Consortium; U.S. Geological Survey; Colorado State University; National Aeronautics and Space Administration","keywords":"Biological dispersal; Metapopulation; Ecology; Wetland; Abiotic component; Population; Habitat; Biology; Genetic structure; Genetic variation","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":[0.0002722462,0.000103434,0.0001012044,0.0004516644,0.0002197398,0.0004200476,0.0001701081,0.0001809563,0.0004711337],"category_scores_gemma":[0.001420949,0.00008848777,0.0001344506,0.0003796463,0.000395234,0.0004146779,0.0002671044,0.0001589827,0.00003035441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843355,"about_ca_system_score_gemma":0.0001935934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009893682,"about_ca_topic_score_gemma":0.02582066,"domain_scores_codex":[0.9998605,0.00003946912,0.000007926411,0.00006085687,0.00001155208,0.00001963898],"domain_scores_gemma":[0.9993128,0.0002588379,0.000291246,0.00004017036,0.00004917267,0.00004774276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004646527,0.00002964674,0.9599216,0.00002268345,0.0001386313,0.0001138752,0.0004346718,0.01367165,0.01438864,0.001204314,0.00009560968,0.009932075],"study_design_scores_gemma":[0.000002746452,0.00003623099,0.9809611,0.000004172196,0.00003273647,0.00008379073,0.0002100228,0.01729256,0.000422736,0.0008053993,0.0001413724,0.000007156779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991025,0.00002885425,0.0006687928,0.00001654511,3.910463e-7,8.459159e-7,0.00002563588,0.000002632926,0.0001539242],"genre_scores_gemma":[0.9997098,0.00001602843,0.0002283571,0.000002160672,6.558244e-7,8.672623e-7,0.00001785779,9.965624e-7,0.00002325444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009893682,"threshold_uncertainty_score":0.01967221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193456406379473,"score_gpt":0.2111421281245564,"score_spread":0.1992075640607616,"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."}}