{"id":"W4385765957","doi":"10.1101/2023.08.10.552028","title":"A multifunctional <i>Dehalobacter</i> ? Tandem chloroform and dichloromethane degradation in a mixed microbial culture","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Dichloromethane; Dehalococcoides; Bioaugmentation; Reductive dechlorination; Electron donor; Chloroform; Chemistry; Mineralization (soil science); Electron acceptor; Enrichment culture; Environmental chemistry; Microbiology; Bioremediation; Biodegradation; Organic chemistry; Biology; Contamination; Bacteria; Ecology; Catalysis; Solvent","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":[0.0002731112,0.0004840719,0.0003468352,0.0001855158,0.0002090572,0.0005674317,0.0004110381,0.0002917228,0.0003306958],"category_scores_gemma":[0.0001594466,0.0001464432,0.0002599239,0.0002357255,0.0001429723,0.0002650728,0.000491399,0.0005172996,0.000305544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370222,"about_ca_system_score_gemma":0.0002650981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539735,"about_ca_topic_score_gemma":0.002039622,"domain_scores_codex":[0.9996728,0.00004092246,0.00003588968,0.00009566081,0.0001069108,0.00004790502],"domain_scores_gemma":[0.9998989,0.00001378493,0.00002031111,0.00001880966,0.00002277989,0.00002545697],"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":[0.0000254273,0.00002191099,0.0002406292,0.00002075363,0.000004092471,0.00003491516,0.000008575706,0.00008949318,0.9985716,0.00004776854,0.00004550409,0.0008892521],"study_design_scores_gemma":[0.00000854633,0.0001376739,0.0012349,0.000006398793,0.00001357748,0.0001388479,0.0000322441,0.002344661,0.9944442,0.00002585022,0.001606537,0.000006479106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838902,0.0005277493,0.01173638,0.0002544388,0.00006624957,0.0001080508,0.001006565,0.0002121525,0.002198142],"genre_scores_gemma":[0.9659887,0.0004993201,0.02824413,0.00009212895,0.00002023843,0.0001099649,0.00189317,0.00005787168,0.003094495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001539735,"threshold_uncertainty_score":0.003061473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292403926047648,"score_gpt":0.1982644750692364,"score_spread":0.1853404358087599,"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."}}