{"id":"W2119026648","doi":"10.3189/172756402781817419","title":"Mass balance of East Antarctic glaciers and ice shelves from satellite data","year":2002,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; European Space Agency; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Geology; Glacier; Ice shelf; Ice stream; Antarctic ice sheet; Hydrostatic equilibrium; Outflow; Interferometric synthetic aperture radar; Geodesy; Flux (metallurgy); Glacier ice accumulation; Satellite; Snow; Ice sheet; Geomorphology; Cryosphere; Synthetic aperture radar; Remote sensing; Climatology; Oceanography; Sea ice; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001463053,0.00008293634,0.0002384258,0.00001678727,0.00005683542,0.000005416758,0.0002474697,0.00004982051,0.001142547],"category_scores_gemma":[0.0001033679,0.0000687005,0.00002482639,0.0001155457,0.0002942089,0.0001335509,0.00003536613,0.00005899871,0.00002200057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":4.026462e-7,"about_ca_system_score_gemma":0.000006467681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001792623,"about_ca_topic_score_gemma":0.0009094366,"domain_scores_codex":[0.9992416,0.00005188637,0.0002224086,0.0002238515,0.00008046596,0.0001798095],"domain_scores_gemma":[0.9991854,0.0002917158,0.0001152778,0.0003103807,0.00004686568,0.00005035863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002780787,0.00001145951,0.9822177,0.00001639879,0.00005821629,0.000002224173,0.0004933142,0.00002580893,0.0001275817,0.0000604427,0.001653433,0.01530567],"study_design_scores_gemma":[0.0001502688,0.0001183881,0.9650221,0.00001243304,0.00001650291,0.000002001579,0.0005483672,0.00668705,0.00004192479,0.001236732,0.02607912,0.00008510978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742063,0.0212117,0.00004863817,0.002493381,0.0001490942,0.00005788212,0.0005926799,0.000008675312,0.001231606],"genre_scores_gemma":[0.9840462,0.01384411,0.001260504,0.0005572874,0.00005411229,2.506885e-7,0.0001687984,0.000001723668,0.00006701963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02442569,"threshold_uncertainty_score":0.9997705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342608471685992,"score_gpt":0.2759397922145631,"score_spread":0.1416789450459639,"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."}}