{"id":"W2088134007","doi":"10.1021/es052064l","title":"Development of a Multichemical Food Web Model:  Application to PBDEs in Lake Ellasjøen, Bear Island, Norway","year":2006,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Biomagnification; Food web; Biotransformation; Arctic char; Congener; Salvelinus; Arctic; Environmental chemistry; Environmental science; Persistent organic pollutant; Ecology; Trophic level; Chemistry; Pollutant; Bioaccumulation; Biology; Trout; Fishery","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":[0.0003052223,0.0006205885,0.0006026691,0.000385214,0.000581403,0.0007073006,0.001142353,0.001430435,0.001562242],"category_scores_gemma":[0.0006522223,0.0005704247,0.0009210268,0.0003585865,0.0003529992,0.0005815091,0.000688468,0.0005003561,0.0001966953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340674,"about_ca_system_score_gemma":0.00172924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.155695,"about_ca_topic_score_gemma":0.06778574,"domain_scores_codex":[0.9998986,0.00002282529,0.000007414881,0.00003297522,0.00001917764,0.00001907788],"domain_scores_gemma":[0.9997603,0.0001064963,0.00003034429,0.000008458254,0.00007244072,0.00002183014],"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":[0.00001279597,0.00001432694,0.001844128,0.00001697389,0.00001163906,0.00006071764,0.00001879003,0.9952554,0.0008053718,0.0004318786,0.00007032597,0.001457482],"study_design_scores_gemma":[0.000005711796,0.000007385159,0.0004769343,0.000001510063,0.000003979426,0.000006948256,0.000006509584,0.9991527,0.00009389849,0.0001558351,0.00008426041,0.000004360154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7660688,0.0004890087,0.2207497,0.0003507943,0.00006411949,0.0001358072,0.001445401,0.0004204158,0.01027595],"genre_scores_gemma":[0.9680409,0.0001787472,0.02767255,0.00004262014,0.00001189371,0.000203784,0.0003838363,0.00005451116,0.003411053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.155695,"threshold_uncertainty_score":0.3095775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00349221042680286,"score_gpt":0.2001149962810647,"score_spread":0.1966227858542618,"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."}}