{"id":"W2991623220","doi":"","title":"Assimilation of Terrestrial Water Storage from GRACE in a Snow-dominated Basin","year":2011,"lang":"en","type":"article","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data assimilation; Surface runoff; Structural basin; Environmental science; Hydrology (agriculture); Water year; Drainage basin; Water storage; Snow; Climatology; Hydrological modelling; Geology; Meteorology; Geomorphology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870896,0.0003738578,0.0003935593,0.000287687,0.0004165654,0.0004359261,0.0004293771,0.000271302,0.0004683571],"category_scores_gemma":[0.0005092584,0.0002360226,0.0004364991,0.0006658378,0.0003013495,0.0003978746,0.0004161857,0.0002588081,0.0001535196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035072,"about_ca_system_score_gemma":0.001663836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1445196,"about_ca_topic_score_gemma":0.1397475,"domain_scores_codex":[0.9999071,0.00001459978,0.000007955317,0.00002526098,0.00002658239,0.00001842171],"domain_scores_gemma":[0.9998502,0.00001534506,0.00002123819,0.00004494641,0.00004563681,0.0000226911],"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":[0.0006609973,0.0002452638,0.0959723,0.00005286597,0.0002530686,0.0002077436,0.000213132,0.8363006,0.03090785,0.001273675,0.002940761,0.03097163],"study_design_scores_gemma":[0.0001344177,0.0001113562,0.09725888,0.00000896964,0.00006852995,0.0000256456,0.00006796118,0.8921522,0.008212258,0.0005776974,0.001334437,0.00004758471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939787,0.00002111295,0.002295889,0.00006561732,0.000009269119,0.00001530789,0.001868845,0.0003929384,0.001352366],"genre_scores_gemma":[0.9929791,0.0000365478,0.003292474,0.0000172469,0.000005111103,0.00002085745,0.003236322,0.00003750729,0.0003747154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445196,"threshold_uncertainty_score":0.2873568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.083891801049511,"score_gpt":0.3108430682913395,"score_spread":0.2269512672418285,"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."}}