{"id":"W3083835685","doi":"10.1002/wer.1454","title":"Indigenous microbial communities in Albertan sediments are capable of anaerobic benzene biodegradation under methanogenic, sulfate‐reducing, nitrate‐reducing, and iron‐reducing redox conditions","year":2020,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bioremediation; Environmental chemistry; Environmental remediation; Microcosm; Nitrate; Geobacter; Sulfate-reducing bacteria; Sulfate; Context (archaeology); Biodegradation; Microbial population biology; Contamination; Chemistry; Environmental science; Ecology; Biology; Bacteria; Biofilm; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009929087,0.0002877374,0.0003499512,0.0002099843,0.0003802054,0.00008061554,0.0004232485,0.0001856009,0.005650228],"category_scores_gemma":[0.00002024064,0.0002482766,0.00006265968,0.0003193773,0.0007074025,0.000324822,0.0005856931,0.0004969393,0.0004196486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461907,"about_ca_system_score_gemma":0.00003227073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307561,"about_ca_topic_score_gemma":0.0008609463,"domain_scores_codex":[0.9967656,0.0005602424,0.0005958371,0.0005915563,0.0006588615,0.0008278963],"domain_scores_gemma":[0.9990647,0.00007836925,0.0001477489,0.0004143114,0.00001661208,0.0002782611],"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":[0.00005668536,0.0002766078,0.02312038,0.00004822404,0.00002949324,0.000006684924,0.01116178,0.004131995,0.9596997,0.000003595157,0.001129161,0.0003356494],"study_design_scores_gemma":[0.001132277,0.0002800027,0.03722299,0.00006858695,0.00002592894,0.000008266528,0.00339224,0.0004502286,0.9550807,0.00005639726,0.001899875,0.0003825054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974294,0.0001312579,0.00001752037,0.001213804,0.00005684124,0.0007166142,0.000121758,0.0000202928,0.0002924869],"genre_scores_gemma":[0.9975098,0.0005331454,0.0005907693,0.0001785206,0.00003711905,0.00002397276,0.0004621682,0.00003564142,0.0006288635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141026,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04512476509242462,"score_gpt":0.2774643291984982,"score_spread":0.2323395641060736,"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."}}