{"id":"W3127251582","doi":"10.1021/acs.est.0c07221","title":"Biodegradation of Lindane (γ-Hexachlorocyclohexane) To Nontoxic End Products by Sequential Treatment with Three Mixed Anaerobic Microbial Cultures","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Genome Canada","keywords":"Lindane; Hexachlorocyclohexane; Environmental chemistry; Biodegradation; Reductive dechlorination; Chemistry; Anaerobic bacteria; Enrichment culture; Microbial biodegradation; Pesticide; Microorganism; Biology; Bacteria; Ecology; Organic chemistry","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":[0.000340917,0.0007059089,0.0004938589,0.0002292202,0.0002330878,0.0006648163,0.0003908242,0.0003409742,0.0003634671],"category_scores_gemma":[0.0002423587,0.0001716264,0.0004484904,0.0003320429,0.0001514518,0.000256214,0.0006241231,0.0005332377,0.0002030433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565039,"about_ca_system_score_gemma":0.0004868532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103643,"about_ca_topic_score_gemma":0.002612132,"domain_scores_codex":[0.9995378,0.00006019575,0.00007861939,0.00008684829,0.0001314855,0.0001051221],"domain_scores_gemma":[0.9998574,0.00002207251,0.00003607606,0.00001317213,0.00003668887,0.00003443841],"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":[0.0001315071,0.00006923253,0.0004731724,0.00003510348,0.000009109879,0.00002758111,0.00003451584,0.000140733,0.9966521,0.00002136935,0.0000101421,0.002395466],"study_design_scores_gemma":[0.00001091932,0.0005643222,0.001980379,0.000006658674,0.00003134395,0.00004882564,0.00008678011,0.0009401572,0.9955979,0.00001853209,0.0007055416,0.0000086583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994513,0.0005933099,0.003866292,0.00004319528,0.00002197478,0.00006113515,0.000180647,0.00002703589,0.0006934762],"genre_scores_gemma":[0.9793125,0.001056393,0.01670182,0.00005036676,0.00001602692,0.0001560397,0.000874661,0.00001914056,0.001812974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002103643,"threshold_uncertainty_score":0.004182756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006511303711824418,"score_gpt":0.2060582537829794,"score_spread":0.199546950071155,"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."}}