{"id":"W2792546428","doi":"10.3390/microorganisms6010013","title":"Biomarkers’ Responses to Reductive Dechlorination Rates and Oxygen Stress in Bioaugmentation Culture KB-1TM","year":2018,"lang":"en","type":"article","venue":"Microorganisms","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; University of Toronto; Pacific Northwest National Laboratory; National Stroke Foundation; Ohio State University; National Institute of General Medical Sciences; Battelle; U.S. Department of Energy; U.S. Department of Defense; Office of Defense Programs; National Science Foundation","keywords":"Bioaugmentation; Transcriptome; Bioremediation; Biology; Strain (injury); Microbiology; Chemistry; Biochemistry; Gene expression; Gene; Bacteria; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002298538,0.0005462932,0.0004507844,0.0002096029,0.0001286014,0.0005031626,0.0002428864,0.0002822964,0.0005073615],"category_scores_gemma":[0.0003935617,0.00021292,0.0002383435,0.0004058563,0.0002180536,0.0003125038,0.0003052561,0.0005671435,0.0001970037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334226,"about_ca_system_score_gemma":0.0001884061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194611,"about_ca_topic_score_gemma":0.001979666,"domain_scores_codex":[0.9996794,0.00002889209,0.00003293343,0.0001266374,0.0000889642,0.00004317268],"domain_scores_gemma":[0.9997205,0.00007652806,0.00009327406,0.00002144011,0.00006106018,0.00002717587],"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":[0.00003934225,0.00001034995,0.0004706888,0.00001380136,0.000002619111,0.000006027532,0.00001671886,0.00004047398,0.9989913,0.000005001996,0.000005520324,0.0003982567],"study_design_scores_gemma":[0.000007835515,0.0004022603,0.0425356,0.000008692418,0.0000254684,0.0001081403,0.0002189919,0.001251671,0.9547434,0.00002872041,0.0006515601,0.00001757606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965734,0.0003366416,0.001482135,0.00004621979,0.000008979515,0.00002172182,0.001160251,0.00006047601,0.0003101211],"genre_scores_gemma":[0.9885202,0.0004537925,0.005708553,0.00009152268,0.000008771606,0.000105552,0.00339965,0.00003923326,0.001672888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002194611,"threshold_uncertainty_score":0.004363596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106973603065596,"score_gpt":0.2537187491099152,"score_spread":0.2430213888033556,"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."}}