{"id":"W4297174471","doi":"10.1002/eap.2751","title":"Diet energy density estimated from isotopes in predator hair associated with survival, habitat, and population dynamics","year":2022,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Parks Canada; University of Victoria; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Bureau of Ocean Energy Management; U.S. Bureau of Land Management; U.S. Air Force; Museum of the North, University of Alaska; National Science Foundation; Quark Expeditions; National Oceanic and Atmospheric Administration; Massachusetts Department of Fish and Game; Alaska Department of Fish and Game; Environment and Climate Change Canada; Canadian Wildlife Federation; University of Wyoming; World Wildlife Fund; U.S. Geological Survey","keywords":"Ursus maritimus; Sea ice; Biology; Predation; Ecology; Apex predator; Population; Arctic; Tundra; Food web; Geography; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644078,0.0001349935,0.0001042864,0.0004680302,0.0002927381,0.0002550551,0.000107778,0.0001031566,0.0007981768],"category_scores_gemma":[0.0003480247,0.0001191185,0.000159249,0.0003179359,0.0001614448,0.0001377258,0.0002040873,0.0001347097,0.0001064884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173669,"about_ca_system_score_gemma":0.0001125302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00863245,"about_ca_topic_score_gemma":0.03150154,"domain_scores_codex":[0.9999381,0.000008168135,0.000006077155,0.00002213686,0.0000139224,0.00001153106],"domain_scores_gemma":[0.9997726,0.00002395713,0.0001275186,0.00001245634,0.00003545547,0.00002807124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005759808,0.000008982614,0.9939063,0.000007051033,0.00003721448,0.00001974213,0.0001237438,0.00005619475,0.003941984,0.00001678589,0.00005209208,0.00177232],"study_design_scores_gemma":[4.481597e-7,0.00001446364,0.9995427,0.000001229609,0.000006682125,0.00003280749,0.00006397358,0.00008319844,0.0001752472,0.000007517344,0.00007088162,7.944378e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993262,0.00005828767,0.0001104829,0.000004839248,0.000001582149,0.000001877374,0.000269058,0.000002083666,0.0002256341],"genre_scores_gemma":[0.9988322,0.0000699866,0.0002554029,0.000008814068,0.000003272974,0.000006649212,0.0005588806,0.000001647608,0.0002632751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00863245,"threshold_uncertainty_score":0.01716441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563523709494266,"score_gpt":0.2259510371182294,"score_spread":0.2103158000232867,"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."}}