{"id":"W2461130117","doi":"10.1111/1462-2920.13441","title":"Nanosilver inhibits nitrification and reduces ammonia‐oxidising bacterial but not archaeal <i>amoA</i> gene abundance in estuarine sediments","year":2016,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta; Centre for Environment, Fisheries and Aquaculture Science; Natural Environment Research Council; Sight Research UK; University of Essex","keywords":"Nitrification; Ammonia monooxygenase; Salinity; Environmental chemistry; Estuary; Effluent; Biology; Ecosystem; Abundance (ecology); Ammonia; Archaea; Benthic zone; Ecology; Environmental science; Chemistry; Bacteria; Nitrogen; Environmental engineering","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":[0.0001012446,0.0001922368,0.0001749087,0.0001228956,0.00005918879,0.0001728772,0.0001532288,0.000257537,0.0009202947],"category_scores_gemma":[0.0001379099,0.0001007542,0.0001984529,0.000045777,0.0001496274,0.00008641514,0.0001116957,0.0002367221,0.0001366246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303085,"about_ca_system_score_gemma":0.00008073503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006819759,"about_ca_topic_score_gemma":0.00125063,"domain_scores_codex":[0.9999293,0.00001033726,0.000009038082,0.0000179656,0.00001783295,0.00001543101],"domain_scores_gemma":[0.9998635,0.00003358123,0.00004356297,0.00001222632,0.0000219224,0.00002526995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001025421,0.00002430979,0.0001718644,0.0000213005,0.000004698442,0.00001376574,0.000006272502,0.00005506208,0.9988054,0.000005139984,0.00002210569,0.0007675847],"study_design_scores_gemma":[0.00001246768,0.0009864573,0.009534694,0.000005857914,0.00001780084,0.00005974713,0.00002681559,0.0007372785,0.9876027,0.00001368521,0.0009980707,0.000004501534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984044,0.0003213368,0.0005983974,0.00003331108,0.00001271194,0.000008336972,0.00008809668,0.00003973901,0.0004936253],"genre_scores_gemma":[0.9949414,0.0002313396,0.001353012,0.00008831519,0.000007519408,0.00002176577,0.0003194231,0.00001440472,0.003022942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009202947,"threshold_uncertainty_score":0.003078699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006931720781323575,"score_gpt":0.2045834355236404,"score_spread":0.1976517147423169,"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."}}