{"id":"W2006337236","doi":"10.1111/1574-6941.12364","title":"Identification of toluene degraders in a methanogenic enrichment culture","year":2014,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Genome Canada; University of Calgary","keywords":"Stable-isotope probing; Biology; Toluene; Methanogenesis; Methanobacterium; Enrichment culture; Methanomicrobiales; Methanococcus; Formate; Biodegradation; Methanosarcina barkeri; Bacteria; Environmental chemistry; Microbiology; Methanosarcina; Euryarchaeota; Archaea; Chloroflexi (class); Methane; Biochemistry; Microorganism; Proteobacteria; Ecology; Chemistry; Organic chemistry; 16S ribosomal RNA; 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":[0.0003156023,0.0004850774,0.0005707877,0.0008048947,0.0003988386,0.0007732383,0.0003109687,0.0004115794,0.0005426159],"category_scores_gemma":[0.000389235,0.0002236534,0.0004461531,0.0008022326,0.0002541251,0.0002213222,0.0005379338,0.0003655778,0.0004882966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173985,"about_ca_system_score_gemma":0.0005816912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004605797,"about_ca_topic_score_gemma":0.005815632,"domain_scores_codex":[0.9992992,0.00006583499,0.0001050841,0.0001642697,0.0002303877,0.0001351995],"domain_scores_gemma":[0.9996756,0.00009943745,0.00003680604,0.00002288789,0.00008772739,0.00007749449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000066855,0.00005484332,0.002742381,0.00002654681,0.000006275378,0.00007416049,0.00006981558,0.00003496892,0.9954683,0.000009744675,0.00001636457,0.00142977],"study_design_scores_gemma":[0.00002195136,0.001119344,0.1492084,0.00003959989,0.0001313058,0.001002119,0.0009332792,0.002168397,0.8433133,0.00006993326,0.00195722,0.00003524993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927905,0.0004693598,0.003335875,0.0001524908,0.00003481739,0.0001599771,0.001688917,0.00004477503,0.001323422],"genre_scores_gemma":[0.9650857,0.001378998,0.02106486,0.0002314782,0.00007299375,0.0002185593,0.005610891,0.00004146366,0.006295027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004605797,"threshold_uncertainty_score":0.009157956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0068004395066812,"score_gpt":0.213371032646347,"score_spread":0.2065705931396659,"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."}}