{"id":"W4400241517","doi":"10.1029/2023wr036105","title":"Improved Estimates of Sub‐Regional Groundwater Storage Anomaly Using Coordinated Forward Modeling","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Hydrogeology; Aquifer; Groundwater; Scale (ratio); Anomaly (physics); Footprint; Environmental science; Grid; Geology; Hydrology (agriculture); Soil science; Groundwater model; Site selection; Geodesy; Groundwater recharge; Geotechnical engineering; Geography; Cartography","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":[0.000544186,0.0006523379,0.0004649191,0.0005848826,0.0002345445,0.0004364963,0.0007205307,0.0003760549,0.0005234607],"category_scores_gemma":[0.0008873225,0.0002690122,0.0006848273,0.0004091639,0.0002364104,0.0005505387,0.0004264464,0.0003964565,0.00008818974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006938676,"about_ca_system_score_gemma":0.00118171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04695525,"about_ca_topic_score_gemma":0.03397672,"domain_scores_codex":[0.9998488,0.00004430987,0.000007078918,0.00004866186,0.00003049101,0.00002066163],"domain_scores_gemma":[0.9996564,0.0001125875,0.00005890142,0.00004502719,0.000108694,0.00001843607],"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":[0.00001824756,0.00002235202,0.003231141,0.000007107011,0.0000319463,0.00002246741,0.00002118935,0.9793728,0.003298969,0.0007080996,0.0001947128,0.01307105],"study_design_scores_gemma":[0.000002077952,0.000002755329,0.0002482171,4.112762e-7,0.000002854507,0.000001175218,0.000001789019,0.9993038,0.0002800805,0.0001070989,0.00004731319,0.000002410299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4914277,0.0001207738,0.504494,0.000220541,0.00003223841,0.00003821847,0.0003150445,0.001026794,0.002324654],"genre_scores_gemma":[0.9365281,0.00003554625,0.06266221,0.00002119574,0.000009474884,0.00003488007,0.0002065359,0.00004282367,0.0004591395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04695525,"threshold_uncertainty_score":0.09336388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09475796766279183,"score_gpt":0.3069214048910391,"score_spread":0.2121634372282473,"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."}}