{"id":"W4309265120","doi":"10.1021/acs.est.2c05334","title":"Characterization of Hexachlorocyclohexane Isomer Dehydrochlorination by LinA1 and LinA2 Using Multi-element Compound-Specific Stable Isotope Analysis","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"EcoMetrix","funders":"Guangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control; Natural Science Foundation of Guangxi Province","keywords":"Fractionation; Chemistry; Hexachlorocyclohexane; Isotope fractionation; Isotope analysis; Isotope; Kinetic isotope effect; Transformation (genetics); Stable isotope ratio; Stereochemistry; Chromatography; Biochemistry; Pesticide; Geology","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":[0.0002604165,0.0004529918,0.0003354136,0.0004944135,0.0001868675,0.0003902153,0.0002435466,0.0003293213,0.0005724663],"category_scores_gemma":[0.0003157528,0.0001896131,0.0003726524,0.0005131789,0.0001737011,0.0002354187,0.0002827497,0.0003999126,0.0004506013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002778036,"about_ca_system_score_gemma":0.0002562717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663319,"about_ca_topic_score_gemma":0.003367675,"domain_scores_codex":[0.9998026,0.0000208984,0.00001248534,0.00004878916,0.00007894205,0.00003629719],"domain_scores_gemma":[0.999823,0.00003055115,0.00003303947,0.00001647696,0.00006294514,0.0000339919],"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":[0.0000423246,0.000009341466,0.0005491002,0.00001593736,0.000003731688,0.00001872295,0.00001361295,0.00003982157,0.9985951,0.00001129242,0.0000084969,0.0006926085],"study_design_scores_gemma":[0.000004942367,0.0001070012,0.007368767,0.000003296977,0.00001198918,0.00008213095,0.00005945777,0.0007053322,0.9899368,0.00002309525,0.001685688,0.00001138649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943586,0.0008293167,0.002776385,0.00004297066,0.00001042108,0.00003262048,0.001059874,0.00005811729,0.0008317907],"genre_scores_gemma":[0.9808177,0.001114375,0.008544737,0.00007999742,0.000007679755,0.000108306,0.003980739,0.00009495355,0.005251551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002663319,"threshold_uncertainty_score":0.005295634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305909817116112,"score_gpt":0.3407999748205953,"score_spread":0.2977408766494342,"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."}}