{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005594828,0.0005100891,0.0008023983,0.0003313041,0.0001671033,0.00001897265,0.0003653387,0.001005863,0.0006757102],"category_scores_gemma":[0.0001349222,0.0004812979,0.0001069218,0.001284554,0.0008711599,0.0001675251,0.0002455478,0.0005599219,0.0002630135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679237,"about_ca_system_score_gemma":0.00004932219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445558,"about_ca_topic_score_gemma":0.0002275942,"domain_scores_codex":[0.9967901,0.0002191952,0.001014923,0.001035153,0.0001441557,0.0007964841],"domain_scores_gemma":[0.9989213,0.00008419294,0.0003753452,0.0004570579,0.00002632779,0.0001357588],"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":[0.0004136876,0.0003122442,0.0009281968,0.00001139678,0.00004522747,0.000007100892,0.0001662293,0.000009387353,0.9916283,0.002141762,0.003665983,0.0006704334],"study_design_scores_gemma":[0.002977678,0.0002382387,0.0003449744,0.00001134343,0.00005447773,0.0001428604,0.0001956102,0.000003327611,0.9504816,0.0006477318,0.04442756,0.0004745769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993715,0.0002460142,0.0005226622,0.00182715,0.0004965295,0.001149875,0.0002413277,0.0001224466,0.001678945],"genre_scores_gemma":[0.9941729,0.0003776363,0.004246131,0.0006460909,0.00005404399,0.00005127546,0.0002738947,0.00003503239,0.0001429993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04114673,"threshold_uncertainty_score":0.9997638,"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."}}