{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00287838,0.0006325503,0.0004898788,0.002299354,0.0003994859,0.0008488165,0.0007067419,0.0006745855,0.001493739],"category_scores_gemma":[0.002360406,0.0002472468,0.0005400124,0.001466598,0.0004629779,0.0005117442,0.0005506195,0.0005733734,0.001221867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006039217,"about_ca_system_score_gemma":0.001098519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008268129,"about_ca_topic_score_gemma":0.02290324,"domain_scores_codex":[0.9985228,0.0003738275,0.0001413018,0.0002163197,0.0006686158,0.00007713366],"domain_scores_gemma":[0.9979209,0.0004770198,0.0005429367,0.00008819781,0.0008945752,0.00007630949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002956306,0.00009940752,0.03999418,0.01299326,0.0002105023,0.0005796104,0.001015709,0.002192362,0.09354292,0.001523587,0.02249798,0.8250548],"study_design_scores_gemma":[0.00003159116,0.001569093,0.2014583,0.01030453,0.0007432924,0.002876663,0.00227174,0.002475322,0.1286761,0.00290118,0.6465096,0.0001825373],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2033841,0.5747535,0.145516,0.007118097,0.003009817,0.001913548,0.01334966,0.001512735,0.04944262],"genre_scores_gemma":[0.2578299,0.587173,0.1181898,0.002195514,0.0005759837,0.001182163,0.008163782,0.0003609429,0.02432897],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008268129,"threshold_uncertainty_score":0.01643997,"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."}}