{"id":"W4313012092","doi":"10.15788/ndot2022.02","title":"A before-after-control-impact study of wildlife fencing along a highway in the Canadian Rocky Mountains","year":2022,"lang":"en","type":"report","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oregon Department of Transportation; Nevada Department of Transportation; Arizona Department of Transportation; New Mexico Department of Transportation; Parks Canada; Minnesota Department of Transportation; Federal Highway Administration; Michigan Department of Transportation; U.S. Department of Transportation","keywords":"Fencing; Wildlife; Geography; Ungulate; Cumulative effects; Fence (mathematics); Environmental science; Ecology; Habitat; Engineering; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002451761,0.0006401025,0.0007698162,0.0007726951,0.003344332,0.0007353871,0.001988339,0.0008484635,0.000970546],"category_scores_gemma":[0.002616879,0.0005006338,0.0008642124,0.00085418,0.001919754,0.0004325717,0.000509356,0.0008887308,0.0001031127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01939374,"about_ca_system_score_gemma":0.02141409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414905,"about_ca_topic_score_gemma":0.9821713,"domain_scores_codex":[0.9961376,0.0008004127,0.00009773213,0.0007500543,0.001101357,0.001112882],"domain_scores_gemma":[0.9962301,0.0004122925,0.0006011835,0.0003512066,0.001788728,0.0006164599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005575175,0.01394604,0.8811373,0.0003054367,0.0009910723,0.001045206,0.006608318,0.002942253,0.03286863,0.001514476,0.003091163,0.04997479],"study_design_scores_gemma":[0.0001872608,0.004780002,0.9894667,0.00001363168,0.0001212897,0.0000456126,0.001423856,0.001039676,0.001084605,0.0000744377,0.00172707,0.00003590315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981139,0.00006802326,0.0003260268,0.00004759584,0.00001011588,0.0002757742,0.0001943454,0.000008085773,0.0009562743],"genre_scores_gemma":[0.9951624,0.00006643741,0.001687309,0.0001644596,0.00001051169,0.000346553,0.0005681384,0.000004812673,0.001989338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05850947,"threshold_uncertainty_score":0.1407121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774299288435066,"score_gpt":0.2750163705160555,"score_spread":0.2572733776317049,"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."}}