{"id":"W2894607922","doi":"10.1016/j.biocon.2018.09.026","title":"A fence runs through it: A call for greater attention to the influence of fences on wildlife and ecosystems","year":2018,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":196,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Conservation Association","funders":"","keywords":"Fencing; Wildlife; Fence (mathematics); Environmental resource management; Wildlife conservation; Ecosystem; Empirical evidence; Wildlife management; Geography; Environmental planning; Business; Ecology; Environmental science; Engineering; Biology; Computer 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":[0.005518004,0.0007263065,0.001044561,0.001176944,0.009854652,0.01273754,0.003478854,0.01876066,0.03455468],"category_scores_gemma":[0.01327293,0.0003932862,0.0009885945,0.001672589,0.01602042,0.01806057,0.004840903,0.009985757,0.002112423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003788422,"about_ca_system_score_gemma":0.009221111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03247559,"about_ca_topic_score_gemma":0.1188603,"domain_scores_codex":[0.997139,0.0009565377,0.0001162757,0.0004453741,0.0008556333,0.0004872582],"domain_scores_gemma":[0.9873203,0.005211176,0.001248745,0.0008985096,0.002832802,0.002488483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002027549,0.0001142361,0.01693787,0.001214797,0.00008006049,0.002605316,0.01531355,0.001114158,0.002547387,0.1061021,0.5404326,0.3133352],"study_design_scores_gemma":[0.000008531898,0.00005504629,0.008636966,0.001693392,0.00003241682,0.001398188,0.03865855,0.0003501618,0.0003715464,0.04553289,0.9031447,0.000117627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02077359,0.03090169,0.006231761,0.8918298,0.009865933,0.0000255435,0.0001357553,0.0001441537,0.04009174],"genre_scores_gemma":[0.4513649,0.06753916,0.01955524,0.4034061,0.01866415,0.0001255057,0.0001961827,0.0004877223,0.03866095],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03455468,"threshold_uncertainty_score":0.115597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04804494353652217,"score_gpt":0.2689493773537956,"score_spread":0.2209044338172734,"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."}}