{"id":"W2774557542","doi":"10.2136/vzj2017.08.0149","title":"Measuring and Modeling Stable Isotopes of Mobile and Bulk Soil Water","year":2018,"lang":"en","type":"article","venue":"Vadose Zone Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Trent University","funders":"University of Aberdeen","keywords":"Soil water; Lysimeter; Evaporation; Isotope fractionation; Isotope; Meteoric water; Stable isotope ratio; Isotopic signature; Isotope analysis; Chemistry; Fractionation; Hydrology (agriculture); Soil science; Environmental science; Geology; Nuclear physics; Oceanography; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000224784,0.0003203435,0.000273658,0.0004386318,0.0002499033,0.0005062118,0.0007444134,0.0004172016,0.0003853716],"category_scores_gemma":[0.000607318,0.0003756915,0.000280366,0.0006746482,0.000425887,0.0004485885,0.0002922754,0.0003317723,0.00006035444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157257,"about_ca_system_score_gemma":0.001036867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05524764,"about_ca_topic_score_gemma":0.04382511,"domain_scores_codex":[0.9999014,0.0000108984,0.000004885924,0.00003215356,0.00002622666,0.00002443524],"domain_scores_gemma":[0.9998128,0.00009374928,0.0000300248,0.00001410569,0.00002798531,0.00002134554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001535734,0.0001011753,0.03758486,0.00006968103,0.00003474789,0.0001318281,0.00012478,0.8785891,0.07061649,0.002016456,0.0001849336,0.01039241],"study_design_scores_gemma":[0.00002878137,0.00002407406,0.006241436,0.000001521745,0.000006633302,0.00001025264,0.00001624743,0.9875251,0.005505214,0.0003744409,0.0002581131,0.00000823664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986741,0.00003313468,0.01196456,0.00002762396,0.000006431113,0.00002564849,0.0003119242,0.0001004259,0.0007893004],"genre_scores_gemma":[0.9888549,0.00005081215,0.01026074,0.000006761715,0.000002478306,0.00005148918,0.0003342865,0.00002978723,0.000408704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05524764,"threshold_uncertainty_score":0.1098521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212881523531328,"score_gpt":0.2146125573782782,"score_spread":0.1924837421429649,"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."}}