{"id":"W2038843785","doi":"10.1016/j.scitotenv.2013.12.059","title":"Multi-isotope (carbon and chlorine) analysis for fingerprinting and site characterization at a fractured bedrock aquifer contaminated by chlorinated ethenes","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Agència de Residus de Catalunya; Universitat de Barcelona; Danmarks Tekniske Universitet; Agència Catalana de l'Aigua; Strategiske Forskningsråd","keywords":"Bedrock; Aquifer; Contamination; Environmental chemistry; Groundwater; Chlorine; Environmental science; Geology; Isotope analysis; Chemistry; Geomorphology; Geotechnical engineering; Oceanography; Ecology","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":[0.000169591,0.0001808249,0.0001783498,0.0007589817,0.0006978825,0.0003867611,0.0005868241,0.0004048221,0.0004726147],"category_scores_gemma":[0.0002460102,0.0001726917,0.0001135631,0.0003725164,0.0003663268,0.0002173098,0.0002626842,0.0001993918,0.00006451058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003943665,"about_ca_system_score_gemma":0.0005046839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02438572,"about_ca_topic_score_gemma":0.0407854,"domain_scores_codex":[0.9999058,0.00001001067,0.000005212025,0.00002645686,0.00003370907,0.00001868657],"domain_scores_gemma":[0.9998813,0.00003044641,0.00001726629,0.000006151162,0.00004500014,0.00001981027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004377037,0.0001736618,0.09269284,0.00003613068,0.00001436713,0.000557245,0.0004922529,0.001449035,0.8965229,0.0001051164,0.00007744712,0.007441361],"study_design_scores_gemma":[0.00006912991,0.0008069964,0.609338,0.00001343569,0.00006780885,0.0009156142,0.00183383,0.03428859,0.3515019,0.0001399653,0.0009869438,0.0000378964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993143,0.00001035219,0.0004605371,0.000008124593,0.000001041613,0.000003659214,0.00005030304,0.0000095268,0.000142134],"genre_scores_gemma":[0.9986633,0.00001335047,0.001000982,0.000004221954,7.737018e-7,0.00000365379,0.00005235713,0.000002647679,0.0002587019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02438572,"threshold_uncertainty_score":0.04848754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00783757485434631,"score_gpt":0.1983146647504114,"score_spread":0.1904770898960651,"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."}}