{"id":"W6898696708","doi":"10.57757/iugg23-3635","title":"Improved Greenland glacial isostatic adjustment models with 3D Earth structure inferred from the joint inversion of regional data sets","year":2023,"lang":"en","type":"article","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Post-glacial rebound; Lithosphere; Geodetic datum; Inversion (geology); Ice sheet; Sea level; Data set; Earth model; Ice-sheet model","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005247329,0.0005105661,0.0003623404,0.0003477525,0.0002133458,0.0006470475,0.0008739029,0.0005229613,0.0009418202],"category_scores_gemma":[0.001174902,0.0003943269,0.0006565946,0.0004558692,0.0003834444,0.0004331304,0.0003995896,0.000429904,0.0001786296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008505147,"about_ca_system_score_gemma":0.001012925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08503631,"about_ca_topic_score_gemma":0.06726869,"domain_scores_codex":[0.9999011,0.00003233966,0.000005788613,0.00003268454,0.00001215917,0.00001589057],"domain_scores_gemma":[0.999738,0.0001143723,0.0000432552,0.00003924098,0.00004312945,0.00002191572],"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":[0.00001934048,0.00001069147,0.002302103,0.000002735083,0.00002691539,0.00001072778,0.00001102814,0.9947671,0.0003644196,0.0002885759,0.0000791346,0.002117288],"study_design_scores_gemma":[0.000005102691,0.000002545606,0.0005266147,8.95122e-7,0.000002948441,0.000001232227,0.000001689257,0.9992279,0.00005971819,0.0001204984,0.0000487374,0.000002215888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047092,0.0001630734,0.0902289,0.0003220882,0.00002919688,0.00003136692,0.001056918,0.0007969291,0.002662153],"genre_scores_gemma":[0.9780278,0.00005418475,0.02001671,0.00005742437,0.000009490662,0.00002850547,0.0008925656,0.00007657937,0.0008367093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08503631,"threshold_uncertainty_score":0.1690827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07702331965584748,"score_gpt":0.3078535588286089,"score_spread":0.2308302391727615,"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."}}