{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001486809,0.0001180641,0.00008511318,0.00007336545,0.00009712223,0.00005144235,0.0001089803,0.00007710367,0.000879635],"category_scores_gemma":[0.00005627174,0.0001044635,0.00001260321,0.0004037294,0.0001519341,0.0001747049,0.0001042832,0.00004630032,0.0005426566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164828,"about_ca_system_score_gemma":0.000009895108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002096723,"about_ca_topic_score_gemma":0.0006732013,"domain_scores_codex":[0.9991583,0.00006203711,0.0001624681,0.0003137598,0.0001233421,0.0001800551],"domain_scores_gemma":[0.9997273,0.0000148349,0.00005498103,0.0001039476,0.00002030054,0.00007864003],"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":[0.00008690767,0.00003610711,0.03648678,0.000002187452,0.000004737168,0.000001680503,0.003507172,3.868402e-7,0.9551005,0.000006567734,0.002490483,0.002276459],"study_design_scores_gemma":[0.0002525471,0.00009743132,0.2607354,0.00001020327,0.000003381012,0.0000033916,0.0007347559,0.000004355301,0.7356753,0.00005582177,0.002313778,0.0001136918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998177,0.00002368174,0.00006993406,0.0008095961,0.0001462568,0.0002858343,0.00004641763,0.000024812,0.0004164891],"genre_scores_gemma":[0.9960515,0.00003264092,0.002750212,0.0004061665,0.00004570695,0.000003962452,0.00002582718,0.000009932383,0.0006740557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2242486,"threshold_uncertainty_score":0.9631386,"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."}}