{"id":"W1580322818","doi":"10.1016/s0168-1656(02)00229-8","title":"The use of ATCC 43560 in the development of a two-phase partitioning bioreactor for the destruction of hexahydro-1,3,5-trinitro-1,3,5-s-triazine (RDX)","year":2002,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"Bioreactor; Biodegradation; Chemistry; Dissolution; Solvent; Aqueous two-phase system; Substrate (aquarium); Batch reactor; Chemical engineering; Aqueous solution; Enterobacter cloacae; Degradation (telecommunications); Pulp and paper industry; Chromatography; Organic chemistry; Catalysis","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":[0.0008269716,0.001075253,0.0006935087,0.0004815242,0.0004139533,0.0008921496,0.0005515623,0.0008635663,0.0004471208],"category_scores_gemma":[0.0007555294,0.0003370735,0.000692357,0.0004819747,0.000266547,0.0006029348,0.0006240178,0.0008407944,0.0008306235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935516,"about_ca_system_score_gemma":0.0009413613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004889459,"about_ca_topic_score_gemma":0.00619542,"domain_scores_codex":[0.9991235,0.0001779856,0.0001224024,0.0001209314,0.0003732115,0.00008193818],"domain_scores_gemma":[0.9996152,0.0001121957,0.00005754019,0.00006642114,0.00009263708,0.00005604514],"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":[0.00004423845,0.00008663675,0.0002096526,0.00003043246,0.000006232297,0.00004738224,0.00002373392,0.00008642911,0.9958934,0.00005808705,0.00004282466,0.003470936],"study_design_scores_gemma":[0.000006523769,0.0003349053,0.001282963,0.00000627204,0.00003472278,0.0002664153,0.000035379,0.000541563,0.9963061,0.00003483598,0.001140421,0.00001002904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579937,0.002327555,0.03411363,0.0005617992,0.0002435651,0.0002726676,0.0009933822,0.0004642034,0.003029376],"genre_scores_gemma":[0.9023151,0.00282756,0.08269466,0.0002102383,0.0000395575,0.0001651578,0.004044377,0.0001993422,0.007504054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004889459,"threshold_uncertainty_score":0.009721994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06283751260107279,"score_gpt":0.278251847946367,"score_spread":0.2154143353452942,"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."}}