{"id":"W4225598817","doi":"10.1093/gji/ggac129","title":"The robustness of geodetically derived 1-D Antarctic viscosity models in the presence of complex 3-D viscoelastic Earth structure","year":2022,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Aeronautics and Space Administration; Harvard University; National Science Foundation","keywords":"Geology; Post-glacial rebound; Lithosphere; Mantle (geology); Viscoelasticity; Geodesy; Geophysics; Ice sheet; Tectonics; Seismology; Geomorphology","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":[0.003823323,0.0009879863,0.0005602444,0.0009691927,0.0005888843,0.00214791,0.001443216,0.001527954,0.0007780177],"category_scores_gemma":[0.015137,0.0005459379,0.001270137,0.000558456,0.0009392102,0.001286067,0.001104753,0.001110949,0.0002826791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065441,"about_ca_system_score_gemma":0.0009032079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388537,"about_ca_topic_score_gemma":0.01120454,"domain_scores_codex":[0.9989991,0.0004483962,0.00009045556,0.0002686333,0.00009438814,0.0000989851],"domain_scores_gemma":[0.9935436,0.003879248,0.0009283139,0.000974097,0.0004419306,0.0002328313],"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":[0.0001024242,0.0000315966,0.01692741,0.00002015742,0.0001276221,0.00004403197,0.00004086238,0.9785556,0.0007193813,0.0005697842,0.0001667171,0.002694331],"study_design_scores_gemma":[0.00001710429,0.000021502,0.003997551,0.00001635086,0.00001448528,0.00001743616,0.00002959169,0.9947444,0.0004322175,0.0005640204,0.0001259844,0.00001934057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974878,0.0002571157,0.02094571,0.0004831266,0.00007000372,0.00003709037,0.0008283704,0.0005776899,0.001922923],"genre_scores_gemma":[0.9960868,0.00006283378,0.003048928,0.0000593128,0.0000150575,0.00001136881,0.000555368,0.00003694589,0.0001232724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03388537,"threshold_uncertainty_score":0.06737626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451350759767138,"score_gpt":0.2358137009462688,"score_spread":0.2113001933485974,"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."}}