{"id":"W4403856694","doi":"10.1130/abs/2024am-405088","title":"QUANTIFYING UNCERTAINTY IN GROUNDWATER RECHARGE USING A STOCHASTIC VADOSE ZONE WATER BUDGET WITH SYNTHETIC RAINFALL AND ACTUAL EVAPOTRANSPIRATION","year":2024,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Groundwater recharge; Vadose zone; Evapotranspiration; Groundwater; Hydrology (agriculture); Environmental science; Geology; Soil science; Aquifer; Soil water; Geotechnical engineering","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":[0.002589031,0.0005507998,0.0004334358,0.0006717732,0.0003999172,0.00103621,0.0006692325,0.0008772296,0.0003071788],"category_scores_gemma":[0.009011691,0.0007057044,0.0008140327,0.0008964066,0.0007426972,0.001447679,0.0005597261,0.0004802411,0.00002934852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002357872,"about_ca_system_score_gemma":0.001353364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03198687,"about_ca_topic_score_gemma":0.01955971,"domain_scores_codex":[0.999261,0.000302836,0.00006072521,0.0001751035,0.0001166308,0.00008367422],"domain_scores_gemma":[0.9946673,0.003977202,0.0005324389,0.0003408808,0.0003486073,0.0001336728],"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":[0.00005192617,0.00001853055,0.00757293,0.000006142675,0.00004036578,0.00001930312,0.000009591819,0.9901759,0.0004592623,0.0007115442,0.00002856148,0.0009058624],"study_design_scores_gemma":[0.00001192023,0.00001919984,0.003213009,0.000001602251,0.000009642115,0.000007963843,0.000007254703,0.9956852,0.0003768544,0.000633983,0.00002698708,0.000006381649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765887,0.00003998733,0.02239004,0.0001309679,0.000009256216,0.00001713316,0.0003043644,0.00008737627,0.0004320893],"genre_scores_gemma":[0.9973351,0.00001243048,0.002462588,0.000006857175,0.000003569094,0.000004905133,0.000121037,0.00000508067,0.00004842005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03198687,"threshold_uncertainty_score":0.06360137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141128710437497,"score_gpt":0.2584875845273402,"score_spread":0.2270762974229653,"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."}}