{"id":"W2778924671","doi":"10.1021/acs.est.7b05214","title":"Substituted Diphenylamine Antioxidants and Benzotriazole UV Stabilizers in Aquatic Organisms in the Great Lakes of North America: Terrestrial Exposure and Biodilution","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Herring gull; Herring; Diphenylamine; Bioaccumulation; Trout; Larus; Biomagnification; Food web; Salvelinus; Fishery; Biology; Environmental chemistry; Chemistry; Fish <Actinopterygii>; Ecology; Ecosystem","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":[0.0001272534,0.0002516634,0.0001352337,0.0005718441,0.0004226001,0.0003447669,0.0001269039,0.0002320262,0.0004145628],"category_scores_gemma":[0.00009443893,0.0001514827,0.000147881,0.0004676812,0.0002204676,0.0002320937,0.0002992504,0.000150141,0.00006126123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004316492,"about_ca_system_score_gemma":0.0004428629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03564657,"about_ca_topic_score_gemma":0.09151732,"domain_scores_codex":[0.9998931,0.00001378472,0.000007223319,0.0000348242,0.00003387628,0.00001715874],"domain_scores_gemma":[0.999862,0.00001174779,0.00006340905,0.000004442327,0.00004197138,0.00001642133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002498457,0.00007711367,0.6125647,0.0004147415,0.0001191007,0.0006067531,0.001997832,0.0002694565,0.3566766,0.0001000412,0.0003302865,0.02659347],"study_design_scores_gemma":[0.000003238754,0.0001849979,0.9876025,0.00001644557,0.00005250957,0.0002018064,0.001028937,0.000278099,0.009440661,0.00003478209,0.001147157,0.00000873916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985586,0.0009144823,0.00006719539,0.000034745,0.00000128745,0.000003228447,0.00007902803,0.000005094787,0.0003363804],"genre_scores_gemma":[0.9976844,0.001033811,0.0003081959,0.0000445719,0.000003520731,0.000007228847,0.0001354643,0.000002786642,0.0007800993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9643534,"threshold_uncertainty_score":0.07087815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007230422871147671,"score_gpt":0.2141118822903509,"score_spread":0.2068814594192033,"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."}}