{"id":"W2271317429","doi":"10.1007/s00128-015-1697-z","title":"Nanosilver and Nano Zero-Valent Iron Exposure Affects Nutrient Exchange Across the Sediment–Water Interface","year":2015,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zerovalent iron; Environmental chemistry; Biogeochemical cycle; Sediment; Water quality; Sediment–water interface; Environmental science; Nutrient; Water column; Surface water; Nitrate; Ecotoxicology; STREAMS; Anoxic waters; Chemistry; Water pollution; Ecology; Environmental engineering; Geology","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":[0.000103659,0.0001531503,0.0001327031,0.0001108651,0.0001533439,0.0002773159,0.0001794042,0.0004148435,0.001480435],"category_scores_gemma":[0.0001680268,0.000114512,0.0001698136,0.00006843892,0.0002676711,0.0002853228,0.0001600117,0.0003046052,0.0001234113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057235,"about_ca_system_score_gemma":0.0002108654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355655,"about_ca_topic_score_gemma":0.002196703,"domain_scores_codex":[0.9998981,0.00001145088,0.000005819122,0.00003615806,0.00002185614,0.00002664489],"domain_scores_gemma":[0.9999112,0.00002731452,0.0000181627,0.00000739152,0.00002246424,0.00001357111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006268952,0.00004650486,0.001073903,0.00002900732,0.000009329774,0.00005354913,0.00005405932,0.0001234679,0.9959869,0.00007585172,0.00005217152,0.001868221],"study_design_scores_gemma":[0.00001398441,0.0003779011,0.007769049,0.000003249088,0.00001537774,0.00004517002,0.0001084471,0.001019681,0.9896498,0.00008985238,0.0009015645,0.000005969494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988551,0.0001162129,0.0004361569,0.00003021602,0.00001212833,0.000004489747,0.00005009613,0.00001080056,0.0004847031],"genre_scores_gemma":[0.997712,0.00008967797,0.000327032,0.00003365186,0.000002409146,0.000003984139,0.00006032638,0.000005359384,0.001765635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002355655,"threshold_uncertainty_score":0.00495255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007669484900177831,"score_gpt":0.2074544052978867,"score_spread":0.1997849203977088,"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."}}