{"id":"W2556258011","doi":"10.1371/journal.pone.0166941","title":"How Effective Is Road Mitigation at Reducing Road-Kill? A Meta-Analysis","year":2016,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":334,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Concordia University; Carleton University","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; Baker Foundation","keywords":"Fencing; Wildlife; Poison control; Transport engineering; Environmental resource management; Environmental science; Computer science; Ecology; Engineering; Environmental health; Biology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003284339,0.0004361605,0.002138976,0.000216041,0.0002247418,0.0001325703,0.0002921449,0.0002364921,0.008933147],"category_scores_gemma":[0.0001484673,0.0002843165,0.002005536,0.0009086335,0.00009090924,0.0004995014,0.0002080242,0.0002368698,0.002479893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009451464,"about_ca_system_score_gemma":0.00002040643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000536309,"about_ca_topic_score_gemma":0.0001020197,"domain_scores_codex":[0.9973443,0.0003672301,0.0004989573,0.0008287384,0.0006702098,0.0002906037],"domain_scores_gemma":[0.9981825,0.0001909306,0.0007134944,0.000754948,0.00004081898,0.0001172478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007001451,0.0005026724,0.0001563911,0.001077222,0.1694517,0.000004663802,0.0001721998,0.000003928775,0.0002601434,0.000006155098,0.003027936,0.82533],"study_design_scores_gemma":[0.0001097279,0.00007399741,0.0005112768,0.001384481,0.4751052,0.000005892946,0.00001052914,0.0001980482,0.0003756352,0.0000316065,0.5215126,0.0006810426],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002109552,0.990272,0.0001170615,0.001765588,0.00007702229,0.001907697,0.0002058012,0.00008857017,0.003456658],"genre_scores_gemma":[0.0007374416,0.9555034,0.0007257966,0.0002727685,0.0001597681,0.001370196,0.0001890777,0.00005831544,0.04098323],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8246489,"threshold_uncertainty_score":0.9999609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107512597834307,"score_gpt":0.2881498498034162,"score_spread":0.1806372519691092,"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."}}