{"id":"W4416425205","doi":"10.1016/j.marenvres.2025.107722","title":"Polycyclic aromatic compounds in Canadian Arctic seabirds: Spatial and temporal trends","year":2025,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; Carleton University; Environment and Climate Change Canada; University of Manitoba","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Crown-Indigenous Relations and Northern Affairs Canada","keywords":"Arctic; The arctic; Bioaccumulation; Persistent organic pollutant; Seabird; Contamination; Petroleum; Pollution","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009702761,0.000210968,0.0002187937,0.0005689829,0.0002519095,0.00008147008,0.000402492,0.0001127045,0.004506906],"category_scores_gemma":[0.000135948,0.0002109686,0.00003573342,0.0007488264,0.0007515093,0.0001919978,0.0008797328,0.0005542845,0.0005253453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003612693,"about_ca_system_score_gemma":0.0001067988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5122549,"about_ca_topic_score_gemma":0.7228775,"domain_scores_codex":[0.9971445,0.0002452216,0.0002970596,0.0005190251,0.0006666252,0.001127578],"domain_scores_gemma":[0.998854,0.0001365478,0.00002981735,0.0004375633,1.515901e-7,0.0005418711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002183062,0.00009599937,0.76892,0.000002900157,0.000008621912,0.00005073116,0.0001097039,9.563803e-7,0.001710401,0.000003755707,0.0002899754,0.2287851],"study_design_scores_gemma":[0.0006486344,0.00009754979,0.9884764,0.00001687407,0.000004957489,0.00002021352,0.0001349286,0.0008635232,0.0003921908,0.001124427,0.00804203,0.0001782517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490259,0.00004960655,0.00000322522,0.002182968,0.00007525274,0.000236154,0.00002045273,0.00001984355,0.04838659],"genre_scores_gemma":[0.98897,0.00004012304,0.0001187364,0.0001880828,0.00002354201,0.00001854687,0.00001181146,0.00002632704,0.01060282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286068,"threshold_uncertainty_score":0.9964031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538135258384249,"score_gpt":0.2879998693453432,"score_spread":0.2726185167615007,"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."}}