{"id":"W4398794740","doi":"10.1016/j.scitotenv.2024.173514","title":"Comparison of groundwater storage changes over losing and gaining aquifers of China using GRACE satellites, modeling and in-situ observations","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Jet Propulsion Laboratory; Natural Science Foundation of Beijing Municipality; Center for Scientific Review; Chinese Academy of Sciences; China Meteorological Administration; National Natural Science Foundation of China","keywords":"Aquifer; Environmental science; Groundwater; China; In situ; Hydrology (agriculture); Water resource management; Remote sensing; Environmental engineering; Geology; Meteorology; Geotechnical engineering; Geography","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":[0.0001902027,0.0003201386,0.0002521375,0.0009390697,0.0003258988,0.0004449942,0.000332396,0.0002996672,0.0005921566],"category_scores_gemma":[0.0002432308,0.0001974192,0.0004170849,0.001525755,0.0002776874,0.0005833597,0.0002891057,0.0001030725,0.0000718728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106787,"about_ca_system_score_gemma":0.0008237471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1259182,"about_ca_topic_score_gemma":0.1607496,"domain_scores_codex":[0.9999195,0.000006223208,0.000009744279,0.00002473101,0.00001568013,0.00002394302],"domain_scores_gemma":[0.9998104,0.00002682866,0.0000451399,0.00002132531,0.0000636043,0.00003261118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003862047,0.00007518753,0.9568113,0.00006200561,0.0002241401,0.0003829064,0.0005805293,0.01821126,0.01044883,0.0003606885,0.0006188935,0.01183796],"study_design_scores_gemma":[0.00001622159,0.00002496361,0.98153,0.000002895822,0.00006356098,0.0000432254,0.0003234056,0.01681354,0.0007915371,0.00006680741,0.0003114319,0.00001231373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993626,0.00001741471,0.0000652786,0.00001318712,0.000001046953,0.000001384925,0.0003444834,0.000012129,0.0001824248],"genre_scores_gemma":[0.999416,0.00001981163,0.00004913499,0.000003483878,0.000001091728,0.000001531846,0.0003746701,0.000001736508,0.0001325517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259182,"threshold_uncertainty_score":0.2503705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06186677640896083,"score_gpt":0.2509317139318596,"score_spread":0.1890649375228988,"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."}}