{"id":"W3121869469","doi":"10.1016/j.envint.2020.106370","title":"Beyond bulk δ15N: Combining a suite of stable isotopic measures improves the resolution of the food webs mediating contaminant signals across space, time and communities","year":2021,"lang":"en","type":"review","venue":"Environment International","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"","keywords":"Trophic level; Food web; Isotope analysis; Food chain; Ecology; Stable isotope ratio; Environmental science; δ13C; δ15N; Biology","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":[0.002432335,0.001025355,0.001078188,0.001838972,0.0006607292,0.001295738,0.0005612128,0.0006573122,0.0009512369],"category_scores_gemma":[0.003160446,0.0004760768,0.000750556,0.00224057,0.0006555517,0.001906509,0.001396615,0.0005945069,0.0003705492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395908,"about_ca_system_score_gemma":0.0005336735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006735438,"about_ca_topic_score_gemma":0.02036076,"domain_scores_codex":[0.9987445,0.0002409304,0.00009325457,0.0005844368,0.0002645323,0.00007229248],"domain_scores_gemma":[0.9977918,0.000485143,0.0005976025,0.0004514788,0.0005639343,0.0001101371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006103234,0.0001133229,0.5567007,0.001102819,0.003892194,0.0002261503,0.0009803604,0.003050948,0.302025,0.00104001,0.0008855146,0.1293728],"study_design_scores_gemma":[0.00003528093,0.0004366912,0.8988208,0.0001957239,0.001566805,0.0009354361,0.0006022076,0.01498563,0.06091677,0.009282761,0.01199957,0.0002224568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9237071,0.008851474,0.05768372,0.000304525,0.0001573852,0.00004471767,0.002278571,0.000321304,0.006651289],"genre_scores_gemma":[0.9582595,0.001406541,0.03722152,0.0003625739,0.00008064405,0.00004652579,0.001426487,0.0001682654,0.001028003],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006735438,"threshold_uncertainty_score":0.01339251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117796278229486,"score_gpt":0.2618518022544463,"score_spread":0.2406738394721514,"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."}}