{"id":"W2114396201","doi":"10.14430/arctic4382","title":"Linking Wolf Diet to Changes in Marine and Terrestrial Prey Abundance","year":2014,"lang":"en","type":"article","venue":"ARCTIC","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest Research Station; Oregon State University; Alaska Department of Fish and Game; U.S. Forest Service; Massachusetts Department of Fish and Game","keywords":"Phoca; Canis; Harbor seal; Predation; Abundance (ecology); Bay; Ecology; Geography; Foraging; Habitat; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003715335,0.0001175005,0.0001212449,0.0009103674,0.0002022808,0.0005107404,0.0001027861,0.0002294216,0.000717475],"category_scores_gemma":[0.0008898099,0.0001459017,0.0001396117,0.0006094571,0.0001712465,0.0002299439,0.0002527167,0.000193519,0.0001188573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252677,"about_ca_system_score_gemma":0.0001461175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007412411,"about_ca_topic_score_gemma":0.01683132,"domain_scores_codex":[0.9998678,0.00003847502,0.00001338031,0.00003583244,0.00002040865,0.00002414],"domain_scores_gemma":[0.999294,0.0001398261,0.0003392588,0.00003886968,0.0001026477,0.00008525189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003562803,0.00001896531,0.9968913,0.000007232351,0.00004445886,0.00003156236,0.00007213653,0.00005309213,0.0007681933,0.000009104031,0.00003881378,0.002029443],"study_design_scores_gemma":[1.636247e-7,0.00001039825,0.9997811,0.000001552936,0.000003690009,0.00002180275,0.00006048758,0.00002903951,0.00003612309,0.000005372624,0.00004985875,4.726582e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990973,0.0003006778,0.00004717704,0.00001590698,0.000002377036,0.00000161127,0.0001257295,0.000001921695,0.0004071796],"genre_scores_gemma":[0.9989945,0.0002718463,0.0001824576,0.00001463447,0.000006063365,0.000004232334,0.0002571995,0.000001813092,0.000267278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007412411,"threshold_uncertainty_score":0.0147385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654609700846672,"score_gpt":0.2353649578650174,"score_spread":0.2188188608565507,"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."}}