{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004150662,0.0001392939,0.0001122471,0.0001456717,0.001697717,0.00008851944,0.0004217767,0.00009239599,0.00007566649],"category_scores_gemma":[0.00003500624,0.0001093965,0.00004191682,0.0001734808,0.001717256,0.0008730126,0.0003736154,0.00007607944,0.00001575034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620267,"about_ca_system_score_gemma":0.000009531342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001865503,"about_ca_topic_score_gemma":0.00002183582,"domain_scores_codex":[0.9986646,0.0000193909,0.0002466899,0.0004823195,0.0003285566,0.0002584375],"domain_scores_gemma":[0.9991249,0.000007659182,0.0003636339,0.0004552474,0.000005974078,0.00004261483],"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":[0.0000165377,0.0001856768,0.1010449,0.000004903982,0.000007745173,3.956172e-7,0.0001234236,0.000881545,0.8893268,0.00007553556,0.000001380801,0.008331102],"study_design_scores_gemma":[0.0007022177,0.00007474409,0.3449742,0.000004476729,0.00002967991,0.00002552977,0.0003673566,0.02464809,0.6283748,0.0004721658,0.0001869269,0.0001397557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869937,0.00003489811,0.01167596,0.0002419477,0.00009822275,0.0008060816,0.00001917574,0.00003114901,0.00009882653],"genre_scores_gemma":[0.9968716,0.00003115035,0.002744488,0.000008254898,0.00001846107,0.0001053226,0.00001859637,0.000009538729,0.0001925878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260952,"threshold_uncertainty_score":0.999602,"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."}}