{"id":"W2091555533","doi":"10.1002/bit.1063","title":"Process for degradation of nitrobenzene: Combining electron beam irradiation with biotransformation","year":2001,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nitrobenzene; Nitrophenol; Chemistry; Degradation (telecommunications); Aqueous solution; Biotransformation; Nuclear chemistry; Organic chemistry; Catalysis; Enzyme; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005921902,0.00007888971,0.00007957371,0.00004144324,0.00005046804,0.000004126656,0.00004975302,0.00009721665,0.0000108251],"category_scores_gemma":[0.000006012907,0.00006407869,0.00001155334,0.0001491845,0.00009152672,0.0001577738,0.00001174664,0.0000664684,0.00000216823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002541859,"about_ca_system_score_gemma":0.000001973767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006723146,"about_ca_topic_score_gemma":0.000003731224,"domain_scores_codex":[0.9995636,0.00000259377,0.0001023903,0.0001137008,0.00006016883,0.0001574911],"domain_scores_gemma":[0.9998692,0.00001108756,0.00003709846,0.00004873128,0.000002089668,0.00003183384],"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":[0.00004579809,0.00004327721,0.008766416,0.00003700452,0.00001267069,4.934516e-7,0.00003546649,0.002144463,0.9803151,0.0003158636,0.000002881058,0.008280588],"study_design_scores_gemma":[0.0004427925,0.0002608827,0.01339609,0.00002248194,0.00002225093,0.00002488512,0.00004258907,0.01159252,0.9736475,0.0001012417,0.0003361568,0.0001105726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771878,0.00005871311,0.02195404,0.0004741134,0.0000144698,0.0001698722,0.000002657593,0.00005332427,0.0000849941],"genre_scores_gemma":[0.9988794,0.0001549865,0.0008998599,0.00002754067,0.000005159472,0.000004800791,0.00001143455,0.000006234729,0.00001063142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02169154,"threshold_uncertainty_score":0.2613053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175828295593761,"score_gpt":0.2407316195053041,"score_spread":0.2289733365493665,"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."}}