{"id":"W2059900742","doi":"10.1007/s00253-003-1364-x","title":"Metabolism of hexahydro-1,3,5-trinitro-1,3,5-triazine through initial reduction to hexahydro-1-nitroso-3,5-dinitro-1,3,5-triazine followed by denitration in Clostridium bifermentans HAW-1","year":2003,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"Strategic Environmental Research and Development Program; U.S. Department of Defense","keywords":"Chemistry; Nitrite; Methanol; Nitroso; Formaldehyde; Triazine; Dry weight; Nitrosation; Environmental chemistry; Nitration; Nuclear chemistry; Medicinal chemistry; Organic chemistry; Nitrate; Biology; Botany","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":[0.0001920139,0.0005605959,0.00027533,0.000153623,0.0001574762,0.000270914,0.0003243616,0.0002671765,0.0005443325],"category_scores_gemma":[0.0001588772,0.000189109,0.0002780612,0.0001301492,0.0001646734,0.0001763183,0.0002353325,0.0004036733,0.0002917064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006040346,"about_ca_system_score_gemma":0.0004005462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005992184,"about_ca_topic_score_gemma":0.006523182,"domain_scores_codex":[0.9998335,0.00001670835,0.000009337847,0.00003659769,0.00003692028,0.0000669186],"domain_scores_gemma":[0.9999069,0.00001221841,0.00002000298,0.00001575016,0.00001978906,0.00002530461],"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":[0.00005253594,0.0000185861,0.00009780443,0.000008368333,0.000001767653,0.00002255127,0.0000106496,0.00007730182,0.9991664,0.00002813277,0.000015027,0.000500912],"study_design_scores_gemma":[0.00000600155,0.0002261019,0.00205216,0.000002853691,0.00000673423,0.00007085897,0.00003295565,0.0005743299,0.9967039,0.00002352677,0.0002960654,0.000004400818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976749,0.0002287281,0.001184895,0.00003178825,0.00001163046,0.00001204636,0.0001321335,0.00003245391,0.0006914076],"genre_scores_gemma":[0.9937935,0.0002413648,0.002177904,0.00002156507,0.000003242876,0.00001712939,0.0006905405,0.00002410274,0.003030673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005992184,"threshold_uncertainty_score":0.01191461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006542308885987526,"score_gpt":0.2190402026311607,"score_spread":0.2124978937451731,"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."}}