{"id":"W7161208219","doi":"","title":"Stalking the Forests and Swimming in the Oceans: Trophic Flexibility in Alaskan Coastal Grey Wolves","year":2025,"lang":"","type":"article","venue":"NSUWorks (Nova Southeastern University)","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trophic level; Predation; Herbivore; Omnivore; Trophic cascade; Apex predator; Mainland; Isotope analysis; Wildlife; Forage fish","routes":{"ca_aff":false,"ca_fund":false,"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":[0.000154597,0.0001165988,0.0001119806,0.0004532216,0.0003984451,0.0005081861,0.0001166426,0.0002169795,0.0009696217],"category_scores_gemma":[0.0003130092,0.0001298034,0.0001192854,0.0003569565,0.0003329145,0.0002516888,0.0003561102,0.000146595,0.0001002145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021638,"about_ca_system_score_gemma":0.0001092783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326158,"about_ca_topic_score_gemma":0.09004492,"domain_scores_codex":[0.9999554,0.000008494813,0.000004087198,0.00001350245,0.000007609866,0.00001092639],"domain_scores_gemma":[0.9998695,0.00001837406,0.00004154808,0.000007358619,0.0000133028,0.00004983706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008384675,0.00003261188,0.9892602,0.00001302077,0.00005296238,0.0002057474,0.003415585,0.00008777272,0.001943441,0.00004195099,0.00007195091,0.004790887],"study_design_scores_gemma":[4.819946e-7,0.00001162959,0.9982744,0.00000421776,0.000003972817,0.00004679576,0.001480049,0.00003595086,0.00002039794,0.00002075207,0.00009964661,0.000001638604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997252,0.00005098825,0.000005087908,0.000008955466,4.848459e-7,2.718712e-7,0.00002466115,3.160409e-7,0.0001839716],"genre_scores_gemma":[0.9996603,0.00006125725,0.00002639893,0.000009599304,6.161335e-7,9.557826e-7,0.00005249508,3.710259e-7,0.0001880628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02326158,"threshold_uncertainty_score":0.04625237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519696538010976,"score_gpt":0.2303864727538973,"score_spread":0.2151895073737876,"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."}}