{"id":"W2990961078","doi":"10.1002/hyp.13606","title":"Calibration method affects the measured δ<sup>2</sup>H and δ<sup>18</sup>O in soil water by direct H<sub>2</sub>O<sub>liquid</sub>–H<sub>2</sub>O<sub>vapour</sub> equilibration with laser spectroscopy","year":2019,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Calibration; Soil water; Analytical Chemistry (journal); Chemistry; Isotope; Root mean square; Soil texture; Mean squared error; Soil science; Environmental science; Mathematics; Chromatography; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002010804,0.001318378,0.001334711,0.0002754922,0.0006953704,0.0008422556,0.0009144021,0.0009166365,0.0002477343],"category_scores_gemma":[0.0004314313,0.0008215293,0.0002433067,0.001132184,0.0006152758,0.002079289,0.0002136344,0.00126629,0.0003646032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007389129,"about_ca_system_score_gemma":0.000369465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001585359,"about_ca_topic_score_gemma":0.0008668069,"domain_scores_codex":[0.9920928,0.001128435,0.001091809,0.002212288,0.001425728,0.002048952],"domain_scores_gemma":[0.9968148,0.001014817,0.0004108389,0.000898196,0.0002537556,0.0006075664],"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":[0.001810797,0.0002790488,0.02090197,0.0006023283,0.000139223,0.00009088105,0.0009349132,0.03509157,0.9358863,0.00000585325,0.001340925,0.00291623],"study_design_scores_gemma":[0.001745881,0.001669495,0.002787764,0.0001670373,0.0001596474,0.0001444176,0.0002301572,0.0489955,0.9416798,0.000854071,0.0003405331,0.001225669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927472,0.001114108,0.00103654,0.001336852,0.0001577428,0.001735625,0.0001694512,0.0004224521,0.001280028],"genre_scores_gemma":[0.9958287,0.0006601544,0.0002045904,0.001241499,0.000428936,0.0001634221,0.001354086,0.00008071536,0.00003787361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01811421,"threshold_uncertainty_score":0.9999568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009518128377141067,"score_gpt":0.2021664624273251,"score_spread":0.192648334050184,"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."}}