{"id":"W2803280004","doi":"10.1016/j.scitotenv.2018.05.222","title":"Unusually high Deca-BDE concentrations and new flame retardants in a Canadian Arctic top predator, the glaucous gull","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Carleton University; Université du Québec à Montréal","funders":"Indigenous and Northern Affairs Canada; Environment and Climate Change Canada; Government of Nunavut; National Research Centre","keywords":"Larus; Arctic; Congener; Tern; Mercury (programming language); Persistent organic pollutant; Food web; Environmental chemistry; Polybrominated diphenyl ethers; Feather; Environmental science; Ecology; Chemistry; Fishery; Predation; Pollutant; Biology; Herring","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001491809,0.0003080008,0.0003203386,0.000589249,0.002040622,0.0006532348,0.000295945,0.0005593779,0.0007046497],"category_scores_gemma":[0.0002061613,0.0002452764,0.0002002657,0.000288503,0.0007661931,0.000184934,0.0002734731,0.0005395547,0.0001220531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004267088,"about_ca_system_score_gemma":0.002058528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6537452,"about_ca_topic_score_gemma":0.8536434,"domain_scores_codex":[0.9998814,0.000005011497,0.000003697224,0.00002364605,0.00004356695,0.00004265358],"domain_scores_gemma":[0.9997727,0.00001355791,0.00003810207,0.000005614131,0.00009547522,0.00007452984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002985875,0.0003193269,0.7186924,0.00007662384,0.0001431667,0.001784511,0.002208255,0.0004009744,0.265761,0.0001631278,0.0008282528,0.006636606],"study_design_scores_gemma":[0.000008599955,0.0004096179,0.9907637,0.000003819673,0.00005341909,0.0003054195,0.001699394,0.0002194917,0.005727074,0.00003508682,0.0007577505,0.00001669952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999403,0.00007506047,0.00002819636,0.00004306946,0.000004373353,0.000004246993,0.00009353676,0.000003287398,0.0003451315],"genre_scores_gemma":[0.9981096,0.00008907287,0.0001009649,0.00008228433,0.000002685651,0.000004909536,0.0001530677,0.000002890514,0.001454491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3462548,"threshold_uncertainty_score":0.6965878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008369223007418474,"score_gpt":0.2084469155929255,"score_spread":0.2000776925855071,"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."}}