{"id":"W4404322726","doi":"10.1016/j.biortech.2024.131812","title":"Amorphous Cu/Fe nanoparticles with tandem intracellular and extracellular electron capacity for enhancing denitrification performance and recovery of co-contaminant suppressed denitrification","year":2024,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Denitrification; Extracellular; Chemistry; Amorphous solid; Nanoparticle; Environmental chemistry; Tandem; Intracellular; Chemical engineering; Extracellular polymeric substance; Electron transport chain; Materials science; Bacteria; Nanotechnology; Biochemistry; Nitrogen; Biology; Composite material; Organic chemistry; Biofilm; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001113438,0.0003347241,0.0001853176,0.0001956794,0.0001846891,0.0002826664,0.0002771695,0.000357884,0.0003675957],"category_scores_gemma":[0.0001173884,0.000161933,0.0001808816,0.0001632846,0.0001382438,0.0001764804,0.0002037821,0.0002216151,0.0001257371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267812,"about_ca_system_score_gemma":0.0001701396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236589,"about_ca_topic_score_gemma":0.003349534,"domain_scores_codex":[0.9999067,0.00001025304,0.000008043409,0.00003005965,0.00002467481,0.00002032084],"domain_scores_gemma":[0.9999517,0.000006461861,0.00001026044,0.000006309752,0.00001642078,0.000008837961],"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":[0.00006141124,0.00003088935,0.0001046805,0.00005036447,0.000006452223,0.00004570709,0.00001178892,0.0003112816,0.9960713,0.0001361746,0.00007053663,0.003099425],"study_design_scores_gemma":[0.000007759262,0.00007893455,0.0004098181,0.000002314592,0.00001789412,0.0000382833,0.00001202406,0.002615508,0.9958614,0.00002396105,0.0009277199,0.000004435656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927186,0.0005984671,0.005203919,0.00004339786,0.00003918797,0.00001249929,0.00004981353,0.00009858331,0.001235445],"genre_scores_gemma":[0.9955106,0.0001744875,0.002802492,0.00001491479,0.000006269489,0.00000980549,0.00004200593,0.000008530214,0.001430987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236589,"threshold_uncertainty_score":0.002458811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008153364433354824,"score_gpt":0.1986884420037372,"score_spread":0.1905350775703824,"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."}}