{"id":"W4394966691","doi":"10.3354/meps14595","title":"Dealing with biases introduced by lipids in stable carbon and nitrogen isotope analyses: a solution based on 28 marine invertebrate, fish, and mammal species","year":2024,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Invertebrate; Marine mammal; Marine invertebrates; Fish <Actinopterygii>; Stable isotope ratio; Mammal; Marine fish; Ecology; Nitrogen; Biology; Environmental science; Fishery; Environmental chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01687449,0.001967632,0.002692668,0.001082011,0.002189499,0.001584363,0.001872782,0.002115489,0.0007957933],"category_scores_gemma":[0.02409758,0.001365407,0.002593631,0.001291897,0.001427933,0.002887436,0.003230667,0.001835823,0.000363679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742495,"about_ca_system_score_gemma":0.00294092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084204,"about_ca_topic_score_gemma":0.01832682,"domain_scores_codex":[0.9948846,0.001587144,0.0004267292,0.002251056,0.0006972299,0.0001533086],"domain_scores_gemma":[0.992784,0.003755715,0.0009539686,0.0010608,0.001265682,0.0001797929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008615612,0.0003890303,0.3875524,0.0009139298,0.002129823,0.0008084963,0.002296813,0.07316566,0.0517615,0.003868752,0.002353501,0.4738985],"study_design_scores_gemma":[0.000313329,0.001717188,0.1892208,0.0006641895,0.002229717,0.001772832,0.002345451,0.7158295,0.03060656,0.04356105,0.01131632,0.000423051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7760252,0.002989215,0.2163189,0.002328584,0.0001170599,0.000319101,0.0003227757,0.0003300874,0.00124915],"genre_scores_gemma":[0.7258819,0.0009131122,0.2703732,0.0005824478,0.00005885381,0.0003156233,0.0006688,0.00009800063,0.001108184],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01687449,"threshold_uncertainty_score":0.08924192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256754473558644,"score_gpt":0.2369741017041334,"score_spread":0.224406556968547,"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."}}