{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001452977,0.0001035206,0.000170772,0.00001382687,0.0003617194,0.00001588335,0.0001500352,0.00004051624,0.001060983],"category_scores_gemma":[0.00005412451,0.0000896817,0.00001760437,0.000350654,0.00008784705,0.00006003146,0.0006720091,0.0001191411,0.00001435088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510658,"about_ca_system_score_gemma":0.000004599706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008936062,"about_ca_topic_score_gemma":0.186979,"domain_scores_codex":[0.9990467,0.000101981,0.0001684754,0.0003440667,0.0001706379,0.000168106],"domain_scores_gemma":[0.9995205,0.0001945681,0.00008801802,0.0001385714,0.000006767489,0.00005161055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002337803,0.0002719366,0.9953535,9.717194e-7,0.00001016413,0.000002373184,0.00001394671,0.0006973355,0.00001427696,0.001589957,0.0002267741,0.001795343],"study_design_scores_gemma":[0.00018701,0.0001501702,0.984968,0.000001443695,0.0000120678,5.476342e-7,0.00003930365,0.009367057,0.00000138721,0.004061607,0.001094506,0.0001168933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969494,0.00002861675,0.000508957,0.0004254622,0.0000108962,0.0003499229,0.00009893293,0.00006850443,0.001559361],"genre_scores_gemma":[0.9976404,0.00002463406,0.0008568088,0.0002297967,0.000005626338,0.0007727879,0.0003741,0.000007327743,0.00008853357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1780429,"threshold_uncertainty_score":0.9998522,"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."}}