{"id":"W4406048427","doi":"10.1021/acs.est.4c08254","title":"Visualization of Syntrophic Benzene-Fermenting <i>Desulfobacterota</i> ORM2 in a Methanogenic Enrichment Culture Using Fluorescence In Situ Hybridization","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alberta Innovates; Genome Canada; Ontario Genomics; Mitacs; Government of Ontario; Imperial Oil Limited","keywords":"Anoxic waters; Fermentation; Benzene; In situ; Biodegradation; Enrichment culture; Environmental chemistry; Anaerobic exercise; Chemistry; Liquid culture; Biology; Food science; Bacteria; Organic chemistry; Botany; Genetics; Physiology","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":[0.0001375821,0.0003329034,0.0001619216,0.0002652255,0.000201476,0.0002534508,0.0002134756,0.000328116,0.000582552],"category_scores_gemma":[0.00009771056,0.0001703209,0.00022367,0.0002753607,0.000180119,0.0001971036,0.0003598181,0.0003369528,0.0002062226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132884,"about_ca_system_score_gemma":0.0001879583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155867,"about_ca_topic_score_gemma":0.00256788,"domain_scores_codex":[0.9999052,0.00001251206,0.000005644533,0.00003091638,0.00001875025,0.00002698038],"domain_scores_gemma":[0.9999263,0.000015793,0.0000207427,0.000006753046,0.00001290741,0.00001754837],"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":[0.000008963225,0.000001634237,0.00009790292,0.000007314692,6.058361e-7,0.00002177799,0.00001185393,0.00001635177,0.999587,0.00001896435,0.000005251739,0.00022248],"study_design_scores_gemma":[0.000005158971,0.00008610898,0.008341322,0.000007597739,0.000007458293,0.0002243655,0.0001140425,0.001737676,0.9878359,0.00005953251,0.001573514,0.000007311177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759435,0.0004985978,0.02063273,0.0001832001,0.00002476584,0.0000331195,0.0005176502,0.0001904052,0.001975915],"genre_scores_gemma":[0.96279,0.0005332338,0.03269161,0.0001270819,0.00001257286,0.00007939884,0.0007055164,0.00006254879,0.002997947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00155867,"threshold_uncertainty_score":0.003099203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005990981490478863,"score_gpt":0.2353863874988787,"score_spread":0.2293954060083998,"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."}}