{"id":"W2441994159","doi":"10.1021/acs.est.6b01124","title":"Correcting Laser-Based Water Stable Isotope Readings Biased by Carrier Gas Changes","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Helmholtz-Gemeinschaft","keywords":"Isotope; Stable isotope ratio; Spectrum analyzer; Laser; Chemistry; Environmental science; Analytical Chemistry (journal); Mass spectrometry; Environmental chemistry; Nuclear physics; Optics; Physics; Chromatography","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":[0.003057212,0.001369909,0.0007135022,0.001189867,0.0007875079,0.0009488558,0.001284727,0.001024039,0.001258243],"category_scores_gemma":[0.008128882,0.0007076278,0.0005276288,0.00157667,0.0009857157,0.0008822688,0.001348503,0.0009547121,0.0008473231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008546363,"about_ca_system_score_gemma":0.001036979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951747,"about_ca_topic_score_gemma":0.01369265,"domain_scores_codex":[0.995708,0.0007185339,0.0002095974,0.001448062,0.001699187,0.000216652],"domain_scores_gemma":[0.9976853,0.0008259667,0.0003388904,0.0004067173,0.0007057002,0.00003740545],"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":[0.0002972883,0.00003967686,0.02112348,0.000268155,0.0001469406,0.0001340998,0.0003004875,0.001221221,0.9488358,0.0003675989,0.0004397739,0.02682555],"study_design_scores_gemma":[0.00001378098,0.0001786647,0.01590069,0.00002305851,0.0001260937,0.0001951005,0.0001437304,0.007366659,0.9707831,0.0005736193,0.004653647,0.0000417189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.688421,0.004429315,0.2981115,0.0003738104,0.0007004135,0.0003071203,0.001645291,0.002389831,0.003621717],"genre_scores_gemma":[0.7900076,0.003008367,0.2002834,0.0006483632,0.00008401072,0.0004175084,0.001391721,0.001116402,0.003042618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003951747,"threshold_uncertainty_score":0.0161683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005352535128184857,"score_gpt":0.1724584023506228,"score_spread":0.1671058672224379,"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."}}