{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756354,0.0001606709,0.0002121477,0.0003552405,0.000276704,0.0003306672,0.0003348631,0.00008199995,0.0003343274],"category_scores_gemma":[0.00002272818,0.0001040729,0.00009993181,0.0003643828,0.0001671768,0.000262711,0.0000664559,0.0003352436,0.0001347567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001687191,"about_ca_system_score_gemma":0.00004200372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630235,"about_ca_topic_score_gemma":0.000439617,"domain_scores_codex":[0.9976416,0.0001949703,0.0002699218,0.0003950471,0.0008037781,0.0006947382],"domain_scores_gemma":[0.9992891,0.000103517,0.00001879365,0.0002239721,0.0002221595,0.0001424835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001082532,0.0002756496,0.09342389,0.001756305,0.0006754895,0.0003052241,0.01302323,0.1377678,0.7202291,0.00007482928,0.0004781074,0.03090775],"study_design_scores_gemma":[0.0001727839,0.0001859965,0.002181097,0.0001019906,0.00001623048,0.000009693358,0.0001631024,0.9740241,0.01970265,0.002070963,0.001205953,0.0001654379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976101,0.0006678043,0.0008428834,0.0001564277,0.0001186614,0.0002213842,0.00003058365,0.00004073477,0.0003114221],"genre_scores_gemma":[0.9992049,0.000009569282,0.0003048185,0.00001200794,0.0001090268,0.000002273925,0.0001120249,0.00001254627,0.0002328022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8362563,"threshold_uncertainty_score":0.9902482,"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."}}