{"id":"W2750141380","doi":"10.1021/acs.est.7b02906","title":"Hydrogen Isotope Fractionation during the Biodegradation of 1,2-Dichloroethane: Potential for Pathway Identification Using a Multi-element (C, Cl, and H) Isotope Approach","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Regional Development Fund; Université de Neuchâtel; Ministerio de Economía y Competitividad; Ministry of Higher Education, Malaysia; Generalitat de Catalunya","keywords":"Isotope; Fractionation; 1,2-Dichloroethane; Chemistry; Hydrogen isotope; Environmental chemistry; Biodegradation; Hydrogen; Isotope fractionation; Identification (biology); Isotope analysis; Radiochemistry; Chromatography; Organic chemistry; Biology; Ecology; Physics; Nuclear physics","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":[0.0003123057,0.0003604787,0.0002761858,0.0003672349,0.0001627836,0.0004151559,0.0002222957,0.0003932664,0.0003386495],"category_scores_gemma":[0.0003316705,0.0002252812,0.0002626074,0.0002584284,0.0003265864,0.0003001338,0.0003216413,0.0003417375,0.0001030795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296048,"about_ca_system_score_gemma":0.0003332832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828307,"about_ca_topic_score_gemma":0.00516719,"domain_scores_codex":[0.9997779,0.00002586669,0.00001077419,0.00006793921,0.00007539746,0.00004220522],"domain_scores_gemma":[0.9998162,0.00004971853,0.000033831,0.00001853658,0.00005674576,0.00002497327],"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":[0.00005884733,0.000007731865,0.001914169,0.00001895428,0.00000483612,0.00001496437,0.00002476232,0.00006225507,0.9955034,0.00001904326,0.000004206838,0.002366869],"study_design_scores_gemma":[0.000003986307,0.0001279836,0.01202755,0.000003709482,0.00001566966,0.00009619394,0.00009068458,0.001331242,0.9858,0.00005612549,0.0004346285,0.00001225362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894963,0.0008078478,0.008622739,0.0000664443,0.00001072112,0.00002213274,0.0002123581,0.00003381644,0.0007276307],"genre_scores_gemma":[0.9909026,0.0006362183,0.007611992,0.0000319867,0.00000573734,0.00001788933,0.0001624726,0.00001291278,0.000618034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002828307,"threshold_uncertainty_score":0.005623698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401966504111014,"score_gpt":0.240706288239913,"score_spread":0.2266866231988028,"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."}}