{"id":"W4388613721","doi":"10.1101/2023.11.10.566631","title":"From <i>mec</i> cassette to <i>rdhA</i> : a key <i>Dehalobacter</i> genomic neighborhood in a chloroform and dichloromethane–transforming microbial consortium","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dehalococcoides; Dichloromethane; Reductive dechlorination; Chemistry; Enrichment culture; Biotransformation; Bioaugmentation; Chloroform; Metagenomics; Methanogenesis; Electron acceptor; Electron donor; Microbiology; Biology; Biochemistry; Bacteria; Gene; Biodegradation; Genetics; Organic chemistry; Enzyme; Bioremediation; Solvent","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001895205,0.0005633574,0.0004201364,0.0005335064,0.0002709223,0.000867933,0.0004029286,0.0005349459,0.0006642042],"category_scores_gemma":[0.0004321702,0.0002633897,0.0005918288,0.0008500824,0.0002928997,0.0002288043,0.0007142642,0.001142281,0.0005658997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759318,"about_ca_system_score_gemma":0.0005365811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745575,"about_ca_topic_score_gemma":0.002920988,"domain_scores_codex":[0.9995502,0.00003378522,0.0000423316,0.0001570289,0.0001026867,0.0001139673],"domain_scores_gemma":[0.9996129,0.00006632288,0.0001187209,0.00004847402,0.00006948662,0.00008424023],"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":[0.00008817803,0.0000515226,0.001733389,0.00004351056,0.00001061569,0.0001527559,0.00009003569,0.0000741605,0.9954228,0.00005510883,0.0000632091,0.002214834],"study_design_scores_gemma":[0.00004609268,0.0006706768,0.1644521,0.00009335641,0.0001761346,0.00351376,0.001171128,0.00274218,0.8179085,0.0001619525,0.008992279,0.00007187983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920266,0.000325815,0.003405161,0.0001780836,0.00003055527,0.000103727,0.002728954,0.0001145483,0.001086549],"genre_scores_gemma":[0.9787436,0.000373542,0.007976822,0.0002286727,0.00001941842,0.00008679393,0.009607799,0.00009862712,0.002864692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003745575,"threshold_uncertainty_score":0.007447541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168802661623357,"score_gpt":0.2041098228378145,"score_spread":0.192421796221581,"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."}}