{"id":"W4220807159","doi":"10.1029/2021jb023631","title":"Influence of 3D Earth Structure on Glacial Isostatic Adjustment in the Russian Arctic","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation; Ministry of Education - Singapore; National Research Foundation Singapore","keywords":"Post-glacial rebound; Deglaciation; Lithosphere; Geology; Arctic; Mantle (geology); Last Glacial Maximum; Ice sheet; Sea level; Glacial period; Physical geography; Oceanography; Geophysics; Paleontology; Geography; Tectonics","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002593917,0.0001336086,0.0003941864,0.0004438781,0.000409604,0.00002900797,0.0008807792,0.00006621999,0.001523876],"category_scores_gemma":[0.0005447859,0.00008469597,0.0001072414,0.0009584571,0.0005638885,0.0001619056,0.00007291303,0.002669257,0.0000844327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005628211,"about_ca_system_score_gemma":0.0004271492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004886168,"about_ca_topic_score_gemma":0.001227055,"domain_scores_codex":[0.9943085,0.002357185,0.0004764809,0.0002061952,0.001957656,0.0006939905],"domain_scores_gemma":[0.9971703,0.002036455,0.0001960507,0.0002793666,0.0001502809,0.0001675611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001318283,0.0002407559,0.9292518,0.00006706557,0.00005644109,0.000498073,0.00193064,0.06239035,0.0001118806,0.001554736,0.0000861708,0.002493792],"study_design_scores_gemma":[0.0005955991,0.003280121,0.9846957,0.00003958028,0.000007852667,0.000170616,0.000536197,0.001172044,0.00007984083,0.008995628,0.000348911,0.00007789474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964674,0.0002043634,8.909731e-7,0.001824323,0.0001092713,0.0002508192,0.00003990325,0.000002328281,0.001100663],"genre_scores_gemma":[0.999311,0.00006770644,0.00008254722,0.0002724112,0.0001585405,0.000002697554,0.00001068439,0.000003355423,0.00009103486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0612183,"threshold_uncertainty_score":0.9996316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512615127299761,"score_gpt":0.3154663533943969,"score_spread":0.2903402021213993,"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."}}