{"id":"W2953749610","doi":"10.1016/j.scitotenv.2019.06.505","title":"Arctic cleansing diet: Sex-specific variation in the rapid elimination of contaminants by the world's champion migrant, the Arctic tern","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Environment and Climate Change Canada; Acadia University","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Association of Canadian Universities for Northern Studies","keywords":"Tern; Arctic; Sterna; Trophic level; Environmental science; The arctic; Plastic pollution; Circumpolar star; Wildlife; Ecology; Seabird; Contamination; Pelagic zone; Geography; Fishery; Pollution; Oceanography; Biology; Predation","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":[0.0001730993,0.0001487759,0.000122932,0.0002964564,0.0002272112,0.0003625749,0.0001413593,0.0002846791,0.001852097],"category_scores_gemma":[0.0002897583,0.0001220311,0.00012948,0.0001565417,0.0001988296,0.0001401101,0.0001688165,0.0002283886,0.0001907533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811844,"about_ca_system_score_gemma":0.0001573323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007416692,"about_ca_topic_score_gemma":0.01632616,"domain_scores_codex":[0.9999264,0.00001745485,0.000003015596,0.00002706105,0.000009546709,0.00001656131],"domain_scores_gemma":[0.9997755,0.00003063418,0.00007874292,0.00001943059,0.00002425255,0.00007151111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002839386,0.0004687347,0.8639579,0.00002887867,0.0001765822,0.0003425937,0.001326892,0.0001337948,0.120972,0.0001096597,0.0004409942,0.009202517],"study_design_scores_gemma":[0.000002757322,0.0001695163,0.9988989,0.000001176732,0.00001121281,0.0000670712,0.0002559515,0.00007136466,0.000405852,0.000008944045,0.0001049361,0.000002388852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997711,0.00002451568,0.00001452027,0.000009563359,0.000002664017,7.654382e-7,0.0000368946,0.000001300052,0.0001388612],"genre_scores_gemma":[0.9986634,0.00002716011,0.00004778122,0.00002577783,0.000003474946,0.000003407293,0.000101758,0.000004587866,0.001122684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007416692,"threshold_uncertainty_score":0.01474702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008302328631154056,"score_gpt":0.2048869164921447,"score_spread":0.1965845878609907,"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."}}