{"id":"W2014054905","doi":"10.1016/s0169-7722(03)00035-4","title":"A sequential zero valent iron and aerobic biodegradation treatment system for nitrobenzene","year":2003,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Australian Research Council; Department of Industry and Science, Australian Government","keywords":"Zerovalent iron; Nitrobenzene; Biodegradation; Environmental chemistry; Zero (linguistics); Chemistry; Environmental science; Organic chemistry","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":[0.0001912146,0.0003196799,0.0004699792,0.0002291798,0.000473956,0.0003934854,0.0004690829,0.0003800189,0.0007648796],"category_scores_gemma":[0.0001740385,0.0002103216,0.0002147935,0.0001584024,0.0001923603,0.0003153061,0.0002753568,0.0003033757,0.000246433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004874655,"about_ca_system_score_gemma":0.000908025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006235247,"about_ca_topic_score_gemma":0.01408342,"domain_scores_codex":[0.9998386,0.00001479554,0.00001396842,0.00004600798,0.00005581287,0.00003085421],"domain_scores_gemma":[0.9999096,0.00001408404,0.0000153172,0.00001101192,0.00002363673,0.00002628943],"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":[0.0003133277,0.0001871904,0.0003818004,0.00004345117,0.00000671012,0.00002846146,0.00001928673,0.0001788733,0.9921869,0.0000438839,0.00008011345,0.006530002],"study_design_scores_gemma":[0.00004738953,0.0009085237,0.001704458,0.000003101552,0.00002258254,0.00008481825,0.0000209051,0.002329367,0.9939997,0.00002220935,0.0008483973,0.000008402878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954466,0.0001661662,0.00349194,0.00005227541,0.00003292859,0.00004973671,0.00009774643,0.0001297828,0.0005328535],"genre_scores_gemma":[0.9906085,0.0001886176,0.006632296,0.00002366989,0.000009095114,0.00002654024,0.000148009,0.00001010327,0.002353163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006235247,"threshold_uncertainty_score":0.01239789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002381885816791,"score_gpt":0.2102929994087486,"score_spread":0.2002691805505807,"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."}}