{"id":"W4403995189","doi":"10.1016/j.chemosphere.2024.143649","title":"Dietary and terrestrial exposure to methoxylated polybrominated diphenoxybenzene contaminants in Great Lakes herring gulls","year":2024,"lang":"en","type":"article","venue":"Chemosphere","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Congener; Bioaccumulation; Polybrominated diphenyl ethers; Environmental chemistry; Bay; Earthworm; Herring gull; Herring; Persistent organic pollutant; Chemistry; Polybrominated Biphenyls; Food web; Contamination; Trophic level; Larus; Biology; Pollutant; Ecology; Fishery; Geology","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":[0.00008679817,0.0002829681,0.0002304641,0.0004962106,0.0005329116,0.0004244308,0.0001422844,0.0003696597,0.001824625],"category_scores_gemma":[0.0002465977,0.0002484733,0.0001577559,0.0002312528,0.000495073,0.0002850754,0.0002987378,0.0003036208,0.0002390702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346304,"about_ca_system_score_gemma":0.0004092712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05639375,"about_ca_topic_score_gemma":0.1343454,"domain_scores_codex":[0.9998926,0.00001528153,0.000004807527,0.00003702231,0.0000123844,0.00003794838],"domain_scores_gemma":[0.999723,0.00002971294,0.00008627441,0.00001837074,0.00004388207,0.00009869644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01027349,0.0007186003,0.296732,0.0001472611,0.0001654528,0.0005291168,0.002560733,0.0001475093,0.6793934,0.0001680344,0.0006033407,0.008560938],"study_design_scores_gemma":[0.00002197279,0.001443122,0.9877726,0.000008244317,0.0000526246,0.0001083431,0.001070763,0.00009935004,0.008707993,0.00004831127,0.000654145,0.00001247894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996583,0.00006180809,0.000009280966,0.00001936089,0.00000140408,0.000001279298,0.00007827938,0.000002070506,0.0001681721],"genre_scores_gemma":[0.9966523,0.0001250621,0.00005686768,0.00007205805,0.000002314792,0.00001129305,0.0002441685,0.000004511065,0.002831451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05639375,"threshold_uncertainty_score":0.112131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289789516485378,"score_gpt":0.2489574922134253,"score_spread":0.2360595970485715,"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."}}