{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033772,0.00007409355,0.0001061458,0.0001132741,0.0004396822,0.00002431225,0.000205859,0.00007348473,0.000175778],"category_scores_gemma":[0.0009143025,0.00005321629,0.00001900143,0.0005388199,0.000454305,0.00009435118,0.000156541,0.0002213907,0.00004543334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253069,"about_ca_system_score_gemma":0.00006400641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906841,"about_ca_topic_score_gemma":0.001930054,"domain_scores_codex":[0.9989315,0.000453987,0.000222062,0.0001235617,0.0001035773,0.0001653369],"domain_scores_gemma":[0.9981504,0.001379049,0.00006360927,0.0003066309,0.00005828732,0.0000420415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006057196,0.0001804457,0.4711643,0.00003501572,0.00005800492,3.880571e-7,0.004033931,0.0001083058,0.05712078,0.0657969,0.3893669,0.01152935],"study_design_scores_gemma":[0.0005769075,0.0005363601,0.8660839,0.0000756652,0.000009549221,0.000002114152,0.004265516,0.000712766,0.002877484,0.01007108,0.1146745,0.0001141646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466938,0.00001139318,0.0009174251,0.04023084,0.00008052978,0.0003318608,0.000007230494,0.00001416866,0.01171273],"genre_scores_gemma":[0.985914,0.00002775208,0.000169201,0.01318134,0.000007303392,0.0000204418,0.0000126602,0.00000339189,0.0006639024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949196,"threshold_uncertainty_score":0.4394293,"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."}}