{"id":"W4410522642","doi":"10.1111/eva.70109","title":"Road Mortality Contributes to the Evolution of an Urban–Rural Cline in Squirrel Coat Color","year":2025,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Science Foundation","keywords":"Melanism; Sciurus; Sciurus carolinensis; Cline (biology); Biology; Coat; Urbanization; Wildlife; Ecology; Gray (unit); Natural selection; Phenotypic trait; Geography; Zoology; Habitat; Demography; Phenotype; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002913503,0.0001641055,0.0001498687,0.0006759362,0.0002853702,0.0004124417,0.0001731907,0.0002434523,0.001413076],"category_scores_gemma":[0.0006434449,0.0001796252,0.0001874906,0.0002989666,0.0003622219,0.0001284757,0.0003961469,0.0002820303,0.0001639644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767111,"about_ca_system_score_gemma":0.0001369221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565818,"about_ca_topic_score_gemma":0.007736559,"domain_scores_codex":[0.999815,0.00005853293,0.000008164169,0.00005557489,0.00002523652,0.00003752103],"domain_scores_gemma":[0.9994468,0.00009819512,0.0002252472,0.0000562649,0.00006350052,0.0001099115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00023055,0.0001190599,0.9470944,0.0000174318,0.0001051895,0.0002252018,0.0003149142,0.0002917817,0.04740133,0.00009942296,0.0001705724,0.003930159],"study_design_scores_gemma":[0.000001607125,0.00002777617,0.9994631,8.955035e-7,0.000003897819,0.00005382902,0.00008159417,0.0001910076,0.0001156621,0.0000137069,0.00004511356,0.000001671954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996715,0.00002034544,0.00006011574,0.000009667599,0.000001098646,0.000002166848,0.00002537317,0.000003345914,0.0002064892],"genre_scores_gemma":[0.9997806,0.00001382653,0.00005193222,0.000008985589,0.000001952048,0.000002422215,0.00004371542,0.000002538074,0.00009402275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002565818,"threshold_uncertainty_score":0.00510174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007199353030443245,"score_gpt":0.2735682779351249,"score_spread":0.2663689249046817,"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."}}