{"id":"W2981772393","doi":"10.1002/rcm.8612","title":"Diet–tissue discrimination factors ( <i>δ</i> <sup>15</sup> N and <i>δ</i> <sup>13</sup> C values) for blood components in Magellanic ( <scp> <i>Spheniscus magellanicus</i> </scp> ) and southern rockhopper ( <scp> <i>Eudyptes chrysocome</i> </scp> ) penguins","year":2019,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"W. Garfield Weston Foundation; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Capelin; Seabird; Trophic level; Chemistry; Isotopes of nitrogen; Predation; Isotope analysis; Stable isotope ratio; δ15N; Predator; Animal science; δ13C; Nitrogen; Zoology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00007573608,0.0001865665,0.0001083445,0.0003507778,0.000148461,0.000215537,0.0001275681,0.0001226804,0.0004906263],"category_scores_gemma":[0.0002545223,0.0001045815,0.0001369816,0.0001808592,0.0002090108,0.0001733467,0.0001577597,0.0001748108,0.00007809457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003465082,"about_ca_system_score_gemma":0.0001314218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006177139,"about_ca_topic_score_gemma":0.01104741,"domain_scores_codex":[0.9999452,0.000004739575,0.000005988351,0.00002196181,0.00001333452,0.000008820944],"domain_scores_gemma":[0.999827,0.00002040976,0.00008096596,0.00001012206,0.00002281841,0.00003884327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001505219,0.00006538552,0.2969188,0.0001067964,0.00006793988,0.0001498615,0.0002476945,0.0001756063,0.689005,0.00006241927,0.00008988014,0.01160541],"study_design_scores_gemma":[0.000006291776,0.0003010234,0.9500468,0.000002714819,0.00002536792,0.0001798654,0.0001374525,0.0003136821,0.04876211,0.00002954609,0.0001881252,0.000007101294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995757,0.00007551591,0.0001118008,0.000002679074,8.174363e-7,0.000002253379,0.00008833867,0.000002112518,0.000140749],"genre_scores_gemma":[0.9993061,0.00005470692,0.0003229163,0.000007225484,7.831846e-7,0.000007175965,0.0001518119,0.000001559909,0.0001477638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006177139,"threshold_uncertainty_score":0.01228237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138631343284512,"score_gpt":0.2367435060775065,"score_spread":0.2228803717490553,"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."}}