{"id":"W3113249571","doi":"10.1029/2020wr028944","title":"A Self‐Calibration Variance‐Component Model for Spatial Downscaling of GRACE Observations Using Land Surface Model Outputs","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Downscaling; Environmental science; Anomaly (physics); Precipitation; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005146254,0.0004155162,0.0002689945,0.0003576291,0.0002460514,0.0003641951,0.0007768154,0.0003411314,0.0005521662],"category_scores_gemma":[0.001088499,0.000344635,0.0005071887,0.0004460998,0.0002166341,0.0003436917,0.0003240674,0.000505559,0.0001372189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279366,"about_ca_system_score_gemma":0.001292616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03802139,"about_ca_topic_score_gemma":0.03123043,"domain_scores_codex":[0.9998112,0.00005659599,0.000009989937,0.00004932093,0.00005311121,0.00001968853],"domain_scores_gemma":[0.9997788,0.00006528237,0.00003356849,0.00003229577,0.00008076888,0.000009265555],"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":[0.00003011249,0.00002251236,0.002527388,0.00001203875,0.0000516003,0.00001724174,0.00002330692,0.9703963,0.003237013,0.001297604,0.0004647155,0.02192014],"study_design_scores_gemma":[0.000001859946,0.000001774948,0.0002715473,3.062813e-7,0.000002011556,8.125981e-7,6.355131e-7,0.9993481,0.0002150383,0.00007972862,0.00007628529,0.00000182189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1625746,0.0000994259,0.8337817,0.0001176408,0.00004871881,0.00005566251,0.0001765365,0.001490859,0.001654909],"genre_scores_gemma":[0.8854323,0.00005605362,0.1125743,0.00003285802,0.00001695031,0.000101133,0.0003467253,0.0001645689,0.001275004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03802139,"threshold_uncertainty_score":0.07560015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2128891478794194,"score_gpt":0.3067752740516492,"score_spread":0.09388612617222974,"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."}}