{"id":"W2948260724","doi":"10.1039/c9em00094a","title":"Response of sulfate-reducing bacteria and supporting microbial community to persulfate exposure in a continuous flow system","year":2019,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; Regional Municipality of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Persulfate; Sulfate; Environmental chemistry; Biodegradation; Sulfate-reducing bacteria; Bacteria; Environmental science; Microbial population biology; BTEX; Continuous flow; Chemistry; Benzene; Biology; Ethylbenzene; Biochemistry; Biochemical engineering; Organic chemistry; Engineering","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":[0.0003602064,0.0004430725,0.0005691127,0.0001486348,0.0002096329,0.0006136634,0.0003158443,0.0005337676,0.0006267907],"category_scores_gemma":[0.0004128026,0.0001914859,0.0002995632,0.0001597,0.0002468125,0.000315332,0.0003197019,0.000449221,0.0001719222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724207,"about_ca_system_score_gemma":0.0003118234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671735,"about_ca_topic_score_gemma":0.002830397,"domain_scores_codex":[0.9996151,0.0000657003,0.00002553057,0.0001271502,0.00009812663,0.00006846216],"domain_scores_gemma":[0.9997581,0.00006203696,0.00005344474,0.00001666161,0.00006484563,0.00004497276],"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":[0.0003086338,0.00006924271,0.0009869367,0.00002837626,0.000006369232,0.00002327292,0.00006093271,0.00007894896,0.9976393,0.000006792536,0.00001569817,0.0007754772],"study_design_scores_gemma":[0.00003546477,0.003509305,0.0286501,0.00001188354,0.00004628461,0.00009445671,0.0003040844,0.002979795,0.9636483,0.00004005561,0.0006559666,0.00002414968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992242,0.00005988078,0.0004438956,0.0000211816,0.000009084491,0.00001334772,0.0001187053,0.00001312282,0.00009656985],"genre_scores_gemma":[0.9962238,0.0001746164,0.001953633,0.00005545184,0.00001308685,0.00004858884,0.0004142939,0.000007586343,0.001108928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002671735,"threshold_uncertainty_score":0.005312324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006013363463349243,"score_gpt":0.2237191120839938,"score_spread":0.2177057486206446,"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."}}