{"id":"W2558303555","doi":"10.1007/s00128-016-1987-0","title":"Polychlorinated Biphenyl Bioaccumulation Patterns Among Lake Erie Lower Trophic Level Consumers Reflect Species Ecologies","year":2016,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; College of Environmental Science and Forestry, State University of New York; Edna Bailey Sussman Foundation","keywords":"Trophic level; Dreissena; Zebra mussel; Food web; Bioaccumulation; Ecology; Zooplankton; Polychlorinated biphenyl; Pelagic zone; Benthic zone; Notropis; Lake ecosystem; Biology; Mayfly; Ecotoxicology; Biota; Ecosystem; Environmental science; Fishery; Mussel; Bivalvia; Mollusca","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":[0.0001302552,0.0001322414,0.0001698948,0.0006935913,0.0004645585,0.0005971651,0.0001204487,0.0002437001,0.002610416],"category_scores_gemma":[0.0002735378,0.0002576851,0.0001565311,0.0005312731,0.0002645582,0.000385057,0.0005021012,0.000195139,0.00037479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005428362,"about_ca_system_score_gemma":0.0002827475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03254517,"about_ca_topic_score_gemma":0.1260003,"domain_scores_codex":[0.9999145,0.00001082692,0.000007100479,0.00002333243,0.00001703953,0.00002709352],"domain_scores_gemma":[0.9997984,0.0000283746,0.00005342115,0.00001083865,0.00007684852,0.00003213449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004218046,0.00005195729,0.8376209,0.00004871366,0.00008374912,0.00007347362,0.001701162,0.0001396235,0.1532505,0.0001164548,0.0001450808,0.006346598],"study_design_scores_gemma":[0.000001575758,0.00003137637,0.9981364,0.000002241294,0.00001015751,0.00002697947,0.0004273752,0.0001046568,0.001030668,0.00001625886,0.0002096019,0.000002555577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993992,0.00001154795,0.00004940099,0.000007685921,2.273893e-7,0.000001204226,0.00006794451,0.000002317601,0.0004604949],"genre_scores_gemma":[0.99822,0.00002942471,0.0002163463,0.00002144657,5.200586e-7,0.000003262506,0.0002118516,0.000003096932,0.001294041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03254517,"threshold_uncertainty_score":0.06471151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951514313089171,"score_gpt":0.2243207010524841,"score_spread":0.2048055579215924,"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."}}