{"id":"W4405446302","doi":"10.3897/natureconservation.57.116972","title":"The potential of electrified barriers to keep black bears out of fenced road corridors at low volume access roads","year":2024,"lang":"en","type":"article","venue":"Nature Conservation","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Oregon Department of Transportation; Iowa Department of Transportation; Nevada Department of Transportation; New Mexico Department of Transportation; Federal Highway Administration; Parks Canada; Montana Department of Transportation; California Department of Transportation; Minnesota Department of Transportation; Alaska Department of Transportation and Public Facilities; Michigan Department of Transportation; U.S. Department of Transportation","keywords":"Fencing; Fence (mathematics); Netting; Transport engineering; Wildlife; Channel (broadcasting); Traffic volume; Environmental science; Computer science; Engineering; Business; Telecommunications; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003543113,0.0001474371,0.000157193,0.0000708709,0.0002018454,0.0001002879,0.0003971613,0.000209706,0.00079339],"category_scores_gemma":[0.0004095984,0.0001193741,0.0001081966,0.0006934968,0.0001880635,0.0004859241,0.0001308857,0.0003312273,0.0001384669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367163,"about_ca_system_score_gemma":0.00009718735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006437821,"about_ca_topic_score_gemma":0.0008304825,"domain_scores_codex":[0.9985061,0.00007899597,0.0004107137,0.0003211833,0.0004649692,0.0002180875],"domain_scores_gemma":[0.9992093,0.000101753,0.0001735242,0.0003153139,0.00009359068,0.0001064489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007994035,0.00008523543,0.1499465,0.00009491833,0.0001612741,0.000009212934,0.0017766,0.01378427,0.5191131,0.0004611875,0.2770758,0.03669253],"study_design_scores_gemma":[0.0004116132,0.0002148989,0.7471517,0.0001682495,0.00009149401,0.00000726815,0.0003798665,0.1395473,0.04781001,0.0005818417,0.06326208,0.0003736705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909456,0.0001098115,0.0006653726,0.005781642,0.001178653,0.0004019995,0.00002108098,0.00004406105,0.0008517603],"genre_scores_gemma":[0.9943953,0.00004238506,0.0001081563,0.001284474,0.00005977166,0.00002625973,0.00003288943,0.00001659896,0.004034121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5972052,"threshold_uncertainty_score":0.8687064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006338600689272459,"score_gpt":0.2543962334104011,"score_spread":0.2480576327211287,"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."}}