{"id":"W2025531238","doi":"10.1021/es0255711","title":"Field Demonstration of Successful Bioaugmentation To Achieve Dechlorination of Tetrachloroethene To Ethene","year":2002,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":501,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Army Corps of Engineers; Environmental Security Technology Certification Program; U.S. Air Force; Battelle; U.S. Army; U.S. Department of Energy; U.S. Department of Defense","keywords":"Dehalococcoides; Bioaugmentation; Microcosm; Biostimulation; Chemistry; Reductive dechlorination; Bioremediation; Environmental chemistry; Biodegradation; Environmental remediation; Microbial consortium; Enrichment culture; Bacteria; Contamination; Organic chemistry; Microorganism; Vinyl chloride; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000305607,0.0001225887,0.0001419712,0.0003694858,0.0001067578,0.000008942306,0.0004869238,0.0001114907,0.002398947],"category_scores_gemma":[0.00007424567,0.0001165923,0.00003065903,0.001521777,0.0007748912,0.0002683181,0.0002630812,0.00008549588,0.0003843725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434286,"about_ca_system_score_gemma":0.000005706739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007954887,"about_ca_topic_score_gemma":0.00007050951,"domain_scores_codex":[0.9985045,0.00001851628,0.000341958,0.0003818011,0.0004858708,0.0002674099],"domain_scores_gemma":[0.9994289,0.00002305949,0.0001577319,0.0002711064,0.000007307337,0.0001119014],"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":[0.00001788621,0.0001245169,0.04591718,0.00000157772,0.000001648633,4.455428e-7,0.0003559469,0.0001608143,0.8839461,0.00007987384,0.00006429249,0.06932968],"study_design_scores_gemma":[0.0001502113,0.0006897009,0.03715933,0.000007146798,0.000005098271,0.000003595527,0.0003440133,0.0001673314,0.9604489,0.0001065486,0.0007948199,0.0001233584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933376,0.000007497846,0.001531026,0.002630653,0.0001055855,0.0003626175,0.00001554272,0.00003139855,0.001978108],"genre_scores_gemma":[0.995442,0.00004107162,0.004174212,0.0002289359,0.000007659589,0.00000985923,0.000002807787,0.000005977852,0.00008743061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07650271,"threshold_uncertainty_score":0.998513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008370558374104968,"score_gpt":0.2261048207453564,"score_spread":0.2177342623712514,"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."}}