{"id":"W2047859621","doi":"10.1021/es901632e","title":"Measurement and Modeling of Polychlorinated Biphenyl Bioaccumulation from Sediment for the Marine Polychaete <i>Neanthes arenaceodentata</i> and Response to Sorbent Amendment","year":2009,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strategic Environmental Research and Development Program; University of Toronto","keywords":"Bioaccumulation; Polychlorinated biphenyl; Environmental chemistry; Sediment; Polychaete; Amendment; Bioavailability; Chemistry; Contamination; Daphnia magna; Dry weight; Sorbent; Ecotoxicology; Persistent organic pollutant; Environmental science; Biology; Ecology; Adsorption; Toxicity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009088669,0.0002955251,0.0001697353,0.0001224923,0.0001031683,0.000240159,0.0002520353,0.0002333378,0.0003002451],"category_scores_gemma":[0.0002120909,0.0001600088,0.0002702861,0.0001588092,0.00009745689,0.0001413047,0.0001600205,0.0001399424,0.0000864139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522674,"about_ca_system_score_gemma":0.0002650837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080774,"about_ca_topic_score_gemma":0.008371344,"domain_scores_codex":[0.9999504,0.000007175916,0.000003638513,0.00001639403,0.00001638325,0.000005951699],"domain_scores_gemma":[0.9999378,0.0000191328,0.00001543837,0.000006728521,0.00001537642,0.000005483307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002932757,0.0001132298,0.0389238,0.0001222142,0.00005340052,0.0001719713,0.00004597064,0.4971547,0.4525624,0.0002290923,0.00006973088,0.01026017],"study_design_scores_gemma":[0.00001931365,0.0004037059,0.02555232,0.000003016954,0.00002706169,0.00008041815,0.00003358087,0.8759298,0.09744684,0.0001314537,0.0003593997,0.00001302835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934042,0.00003137126,0.006164081,0.000009552283,0.000001193483,0.000006542931,0.00008442271,0.00003017519,0.0002684087],"genre_scores_gemma":[0.9957354,0.00007051439,0.003567176,0.000002941422,5.132037e-7,0.00002032779,0.0001619169,0.000004150994,0.0004370235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01080774,"threshold_uncertainty_score":0.02148968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839009189258664,"score_gpt":0.245521391445847,"score_spread":0.2271312995532603,"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."}}