{"id":"W4294917726","doi":"10.1021/acs.est.2c02574","title":"Complete Reductive Dechlorination of 4-Hydroxy-chlorothalonil by <i>Dehalogenimonas</i> Populations","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Shuangchuang Program of Jiangsu Province; “333 Project” of Jiangsu Province; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Reductive dechlorination; Chlorothalonil; Environmental chemistry; Environmental science; Chemistry; Toxicology; Biology; Organic chemistry; Ecology; Pesticide; Biodegradation","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":[],"consensus_categories":[],"category_scores_codex":[0.0002488187,0.0001466789,0.000170749,0.0004085466,0.000353298,0.000009080656,0.0005080679,0.0000571025,0.0005405],"category_scores_gemma":[0.00001612896,0.0001747473,0.0000337519,0.0007845843,0.0009665726,0.0002431808,0.0003408695,0.0001507185,0.00004053579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008830321,"about_ca_system_score_gemma":0.00001186133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008469209,"about_ca_topic_score_gemma":0.000001084026,"domain_scores_codex":[0.9984987,0.00002143632,0.0003189531,0.0003173722,0.000524571,0.0003189549],"domain_scores_gemma":[0.9995025,0.0000133075,0.0001119451,0.0003096476,0.000002960563,0.00005961351],"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":[0.000003042838,0.00006861624,0.006443404,0.000002321416,0.000005005923,0.000001277888,0.000096064,0.008460486,0.9834866,0.0005150076,0.0001084718,0.0008097163],"study_design_scores_gemma":[0.0003228686,0.0001608293,0.0144447,0.000002609948,0.00001224138,0.00003843559,0.0006542368,0.001731362,0.9712903,0.001295875,0.009784949,0.0002615839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972568,0.0002356221,0.0006779071,0.000145157,0.0003913076,0.0003106749,0.0003316982,0.0001903761,0.0004605003],"genre_scores_gemma":[0.9986344,0.00004154616,0.0009571784,0.00001999167,0.000008313392,0.0001619481,0.00009424888,0.00002375996,0.00005861772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219627,"threshold_uncertainty_score":0.7125987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009199491217083642,"score_gpt":0.2057222491697047,"score_spread":0.1965227579526211,"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."}}