{"id":"W2131370183","doi":"10.1111/j.1365-2656.2008.01394.x","title":"Lipid corrections in carbon and nitrogen stable isotope analyses: comparison of chemical extraction and modelling methods","year":2008,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":736,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"NOAA Research; Canada Research Chairs; Northern Arizona University","keywords":"Stable isotope ratio; Delta; Extraction (chemistry); Isotope analysis; Invertebrate; Nitrogen; Environmental chemistry; Marine invertebrates; Normalization (sociology); Biology; Isotopes of nitrogen; Isotopes of carbon; Chemistry; Ecology; Total organic carbon; Chromatography","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":[0.0005748381,0.00009048132,0.000476976,0.0001668246,0.000047077,0.000004616121,0.00009247989,0.0001254512,0.0001836515],"category_scores_gemma":[0.0001106806,0.00008442461,0.0000559886,0.0002373654,0.0002409624,0.0001564436,0.00008470848,0.0003005735,0.000001410623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469198,"about_ca_system_score_gemma":0.00002693817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003533491,"about_ca_topic_score_gemma":0.0003138088,"domain_scores_codex":[0.9987578,0.0002160751,0.0005856427,0.0001541124,0.0001075883,0.0001787248],"domain_scores_gemma":[0.9991373,0.0002738847,0.0004193114,0.0000709872,0.0000309079,0.0000675437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001566195,0.0001923927,0.7760038,0.000003712225,0.00004355261,0.00001498533,0.0004695637,0.0155128,0.2070053,0.000007141908,0.00004790264,0.0005423035],"study_design_scores_gemma":[0.001252308,0.002227071,0.3545114,0.00001343401,0.0002984699,0.001105589,0.001302939,0.539933,0.09777525,0.0008515124,0.0004617279,0.0002673562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963846,0.0001601485,0.002563269,0.00006821306,0.00008438456,0.00006076307,4.174271e-7,0.000002566346,0.0006756665],"genre_scores_gemma":[0.9664055,0.0001819561,0.0333277,0.00002719527,0.00003471735,0.000002052693,3.156586e-7,0.00000610194,0.00001450919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5244201,"threshold_uncertainty_score":0.3442736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618227416091578,"score_gpt":0.3613742371710844,"score_spread":0.3051919630101686,"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."}}