{"id":"W4362657546","doi":"10.1111/cobi.14091","title":"Fragmentation effects on an endangered species across a gradient from the interior to edge of its range","year":2023,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Energy, Northern Development and Mines; Ministry of Natural Resources and Forestry","funders":"National Institute of Food and Agriculture; Oregon State University; U.S. Department of Agriculture","keywords":"Endangered species; Fragmentation (computing); Forest fragmentation; Range (aeronautics); Geography; Habitat fragmentation; Ecology; Environmental science; Biology; Habitat; Materials science","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":[0.0004807326,0.0001378263,0.0002378511,0.000602101,0.0003057331,0.0004846527,0.0002281473,0.0001579552,0.0007093243],"category_scores_gemma":[0.001850997,0.0001457295,0.0002284744,0.0004022798,0.0004157216,0.0003673991,0.0005885815,0.0003051432,0.00009144175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391474,"about_ca_system_score_gemma":0.0001207583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115211,"about_ca_topic_score_gemma":0.03030503,"domain_scores_codex":[0.9996392,0.0001212959,0.00002374853,0.0001207146,0.00005622449,0.00003885549],"domain_scores_gemma":[0.9981889,0.0004430503,0.0008503178,0.000149207,0.0001408347,0.000227632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005243396,0.00001603934,0.9968142,0.000004783521,0.00004800523,0.00004524329,0.00007425383,0.0003842947,0.0005197942,0.00003998049,0.00004788494,0.001953033],"study_design_scores_gemma":[0.000001576881,0.00004368022,0.9982261,0.000003942675,0.00001105422,0.0000843314,0.00009647413,0.00136103,0.00004080981,0.00004411141,0.00008489205,0.000002025687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994367,0.00004486245,0.0001442528,0.00001771549,0.000001083721,0.000001593997,0.00008168466,0.000003578079,0.0002684871],"genre_scores_gemma":[0.9996006,0.00002162856,0.0001725172,0.000007591063,0.00000165772,0.000002036831,0.0001401327,0.000001069709,0.0000527823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115211,"threshold_uncertainty_score":0.02217442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180760798149487,"score_gpt":0.2850647173715663,"score_spread":0.2532571093900714,"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."}}