{"id":"W2135685845","doi":"10.1128/aem.68.11.5336-5341.2002","title":"Biodegradation of Hexahydro-1,3,5-Trinitro-1,3,5-Triazine and Its Mononitroso Derivative Hexahydro-1-Nitroso-3,5-Dinitro-1,3,5-Triazine by <i>Klebsiella pneumoniae</i> Strain SCZ-1 Isolated from an Anaerobic Sludge","year":2002,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Chemistry; Formaldehyde; Biodegradation; Nitroso; Methanol; Diazomethane; Triazine; Klebsiella pneumoniae; Nuclear chemistry; Bacteria; Nitrite; Strain (injury); Environmental chemistry; Medicinal chemistry; Organic chemistry; Biology; Escherichia coli; Biochemistry; Nitrate","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":[0.0001623155,0.0005378941,0.0003516437,0.0001432513,0.0001175766,0.0003084748,0.0002173522,0.0003942047,0.0002734361],"category_scores_gemma":[0.000179223,0.0001613304,0.0002805975,0.00014795,0.0001393937,0.0002036552,0.0002605817,0.0002431325,0.0001428877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157823,"about_ca_system_score_gemma":0.000425259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00449087,"about_ca_topic_score_gemma":0.004567722,"domain_scores_codex":[0.9997491,0.00003723745,0.00001644105,0.00005957409,0.00007488387,0.00006271208],"domain_scores_gemma":[0.999895,0.00001420699,0.00004047359,0.000006388627,0.00001794182,0.00002586361],"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":[0.00009491951,0.00001298018,0.0007217973,0.00003287552,0.000005910203,0.00002398884,0.0000165305,0.0001144534,0.9979845,0.00000900621,0.000006833754,0.0009761648],"study_design_scores_gemma":[0.000007656018,0.0005778275,0.01047427,0.000007204967,0.00002484509,0.0001779277,0.0000723564,0.001326143,0.9868101,0.00001942064,0.0004945587,0.000007716374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984527,0.0006083236,0.0006283855,0.00001408174,0.0000047798,0.000006371994,0.00009186988,0.00001141261,0.0001821397],"genre_scores_gemma":[0.9959267,0.0006467566,0.002022707,0.00001824059,0.000002292595,0.000009417196,0.0003066155,0.000005454332,0.001061839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00449087,"threshold_uncertainty_score":0.008929491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006532132033855224,"score_gpt":0.1730709103641861,"score_spread":0.1665387783303308,"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."}}