{"id":"W2900777812","doi":"10.1016/j.fishres.2018.11.008","title":"The effects of inter- and intra-population variability on the use of adipose fin-muscle tissue comparisons for stable isotope studies of sockeye salmon","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia; Fisheries and Oceans Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; Fisheries and Oceans Canada; University of Waterloo; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Trophic level; Biology; Muscle tissue; Oncorhynchus; Population; Adipose tissue; δ15N; δ13C; Stable isotope ratio; Zoology; Ecology; Fishery; Anatomy; Fish <Actinopterygii>; Endocrinology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001915099,0.00007669808,0.0002390753,0.00003233616,0.0003196548,0.0000213559,0.0002881011,0.00005137573,0.0002006617],"category_scores_gemma":[0.00517751,0.00004545797,0.0000342901,0.0002705306,0.002273984,0.0001238949,0.0004303772,0.0001318432,0.000004920653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008284795,"about_ca_system_score_gemma":0.00001265486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108372,"about_ca_topic_score_gemma":0.003119172,"domain_scores_codex":[0.9983287,0.0006473067,0.0002941311,0.0001987667,0.0002881542,0.0002429136],"domain_scores_gemma":[0.9921871,0.007076314,0.000121686,0.0004506364,0.0001398644,0.00002438116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006997654,0.0005106792,0.8254269,0.0005377825,0.000318192,7.766373e-7,0.007397431,0.0001256238,0.04314058,0.002592327,0.07882795,0.04042202],"study_design_scores_gemma":[0.000363462,0.003044709,0.826121,0.0000714265,0.00005354743,3.520748e-7,0.001235863,0.003302435,0.1042714,0.004729442,0.05668286,0.0001234675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977572,0.00004601391,0.0002179438,0.0006665164,0.0000730513,0.0007834395,0.00001219452,0.000003829289,0.0004397882],"genre_scores_gemma":[0.9986808,0.00009580009,0.000596679,0.00002018506,0.00001794173,0.00009259737,0.000002467716,0.00000728578,0.0004862448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06113083,"threshold_uncertainty_score":0.8378589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09443903607181121,"score_gpt":0.3604140607108458,"score_spread":0.2659750246390346,"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."}}