{"id":"W2040816621","doi":"10.1016/j.scitotenv.2004.12.085","title":"Development and application of bioaccumulation models to assess persistent organic pollutant temporal trends in arctic ringed seal (Phoca hispida) populations","year":2005,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada; Trent University","funders":"","keywords":"Bioaccumulation; Blubber; Phoca; Persistent organic pollutant; Pollutant; Population; Arctic; Congener; Environmental science; Environmental chemistry; Biology; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008712527,0.0004381429,0.0003616647,0.0003057419,0.0002927205,0.0005453242,0.000512421,0.0003828915,0.0003941916],"category_scores_gemma":[0.001436859,0.0002836034,0.0005056079,0.0002108531,0.000154549,0.0003948247,0.0003447962,0.0002836242,0.0001272047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008713893,"about_ca_system_score_gemma":0.0008146523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146235,"about_ca_topic_score_gemma":0.01275244,"domain_scores_codex":[0.9998617,0.00005348067,0.00001081154,0.00003803771,0.00002132225,0.00001452554],"domain_scores_gemma":[0.9995248,0.0002766786,0.00006188123,0.00002850514,0.00009091319,0.00001728183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001931849,0.0001874029,0.03912134,0.00006207268,0.0002083657,0.0000539766,0.000136325,0.89549,0.02615966,0.002703613,0.0003213501,0.03536277],"study_design_scores_gemma":[0.00000700949,0.00006964736,0.003150122,0.000002419474,0.00003455477,0.00002053979,0.00002902572,0.9914145,0.004327095,0.0006129368,0.0003249919,0.000007195657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8655348,0.0002225988,0.1319832,0.0001056838,0.00001653106,0.00006159289,0.0004251349,0.0001840482,0.001466466],"genre_scores_gemma":[0.9565322,0.000206962,0.04160341,0.00002054282,0.000004482853,0.0001052721,0.0003587755,0.00002446081,0.00114395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02146235,"threshold_uncertainty_score":0.04267484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04352692972530293,"score_gpt":0.2607768807911018,"score_spread":0.2172499510657989,"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."}}