{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002040148,0.00008395467,0.0001176026,0.00001623585,0.00005028091,0.0000181301,0.0001135932,0.00002069689,0.0004342082],"category_scores_gemma":[0.0001212242,0.00007648973,0.0000114179,0.0001276896,0.00004438686,0.00005508662,0.0007332533,0.00007103768,0.000156667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006165537,"about_ca_system_score_gemma":0.000001161549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007116511,"about_ca_topic_score_gemma":0.1222726,"domain_scores_codex":[0.9993272,0.00003205494,0.0000932485,0.0002282303,0.0001172556,0.0002020296],"domain_scores_gemma":[0.9997196,0.00006249547,0.00002632821,0.0001304019,0.000001387094,0.00005976184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000365091,0.00001655246,0.9319811,0.00001626114,0.00000216583,0.000001999603,0.0002114031,0.00002108736,0.0001122367,0.00003201983,0.00007184706,0.06749679],"study_design_scores_gemma":[0.0002314281,0.0002321433,0.9520168,0.00003355576,0.000004024371,0.000001446317,0.00000857891,0.0002256639,0.00004635743,0.0005888559,0.04651079,0.0001003316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896359,0.00002380913,0.000007416605,0.001261198,0.00007400438,0.0001687787,3.520413e-7,0.00001557355,0.008813001],"genre_scores_gemma":[0.9978145,0.00008169815,0.0007852734,0.0009763073,0.00008585081,0.00002269809,8.70991e-7,0.000007463732,0.000225279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1151561,"threshold_uncertainty_score":0.9994952,"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."}}