{"id":"W4416805091","doi":"10.1139/er-2025-0214","title":"Avian tissue sampling following oil pollution events: quantifying impacts and monitoring recovery","year":2025,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; GRi Simulations (Canada); Acadia University; Environment and Climate Change Canada; Carleton University","funders":"Environment and Climate Change Canada","keywords":"Pollution; Sampling (signal processing); Wildlife; Oil spill; Sample (material); Harm; Foraging; Pollutant","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007324326,0.000321032,0.0003986172,0.00007017984,0.0003216106,0.00005292736,0.00024215,0.0001098096,0.0003424146],"category_scores_gemma":[0.0002014398,0.0002991401,0.000139777,0.0002476106,0.000085635,0.0006147308,0.0003165277,0.0002273298,0.0007998653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000972939,"about_ca_system_score_gemma":0.0000100854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005214746,"about_ca_topic_score_gemma":0.00001576409,"domain_scores_codex":[0.9979557,0.0001488328,0.0005247877,0.0005383753,0.0003029573,0.0005292915],"domain_scores_gemma":[0.999138,0.00005578762,0.0001744817,0.0004260092,4.950294e-8,0.0002057033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007361085,0.00003860885,0.04546545,0.00001336031,0.00001913858,0.000004607545,0.0001270808,0.000004033829,0.2344605,6.177696e-7,0.00007345147,0.7197857],"study_design_scores_gemma":[0.0006317805,0.0000871973,0.8501683,0.000962376,0.0001253519,0.00002836857,0.0002099855,0.00002568735,0.02097902,0.0001614528,0.126045,0.0005754075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653086,0.02956781,0.0009539805,0.0003320535,0.0009326738,0.0003722869,0.00001759243,0.00006897002,0.002446],"genre_scores_gemma":[0.9764169,0.01830475,0.002907448,0.000282585,0.000067607,0.0000148056,0.000002834441,0.00003161398,0.001971431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8047029,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315248197994842,"score_gpt":0.3139984558378769,"score_spread":0.2808459738579285,"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."}}