{"id":"W4411447755","doi":"10.1111/cobi.70089","title":"Community‐informed and codesigned research to understand the impacts of railways on wildlife","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Mount Allison University; Assembly of First Nations; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wildlife; Geography; Citizen science; Wildlife trade; Indigenous; Wildlife conservation; Taxon; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01939203,0.0002935513,0.0003624283,0.003171589,0.004424154,0.003258167,0.001325205,0.001502639,0.004071383],"category_scores_gemma":[0.02040287,0.000303576,0.0002556172,0.00200053,0.00509982,0.00482014,0.004952925,0.00153547,0.0003034278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006348209,"about_ca_system_score_gemma":0.02574435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06286318,"about_ca_topic_score_gemma":0.1843045,"domain_scores_codex":[0.9887615,0.008208411,0.0003646954,0.0007938505,0.001034702,0.0008369015],"domain_scores_gemma":[0.9718906,0.01532081,0.003452861,0.002452515,0.004431674,0.002451598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001467962,0.001266604,0.184683,0.003194653,0.0002168762,0.001283699,0.3770313,0.001133497,0.004717281,0.0379937,0.00883569,0.3794968],"study_design_scores_gemma":[0.000110363,0.0005189607,0.1777618,0.003521598,0.0001253591,0.000394036,0.6378242,0.002893299,0.0009905393,0.07136857,0.1043666,0.0001245681],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8472406,0.008447837,0.02814296,0.05027734,0.0004611535,0.00135422,0.0003923766,0.00009109149,0.06359246],"genre_scores_gemma":[0.9796591,0.001797069,0.01244172,0.003155411,0.00006364502,0.0004575749,0.00008258827,0.000007989122,0.002334909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06286318,"threshold_uncertainty_score":0.1249945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08872070299764316,"score_gpt":0.3791181793693632,"score_spread":0.29039747637172,"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."}}