{"id":"W3014920837","doi":"10.1029/2020gl087944","title":"Uncertainties of Glacial Isostatic Adjustment Model Predictions in North America Associated With 3D Structure","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"Earth Observatory of Singapore; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; National Research Foundation Singapore; National Natural Science Foundation of China; University of Hong Kong; Ministry of Education - Singapore; National Research Foundation","keywords":"Post-glacial rebound; Geology; Bay; Last Glacial Maximum; Lithosphere; Mantle (geology); Glacial period; Sea level; Deglaciation; Ice sheet; Geodesy; Oceanography; Climatology; Physical geography; Geomorphology; Tectonics; Paleontology; Geography","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":[0.002007015,0.0005132689,0.0003412591,0.0007199267,0.0004159349,0.001408328,0.0005404403,0.0004233426,0.0007121812],"category_scores_gemma":[0.004689354,0.0004420217,0.0006962439,0.0006317662,0.0006823104,0.0005928984,0.0006985625,0.0004092272,0.0001449358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521278,"about_ca_system_score_gemma":0.001011088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09274676,"about_ca_topic_score_gemma":0.05881082,"domain_scores_codex":[0.999507,0.0001927292,0.00003225391,0.0001579159,0.00006792371,0.00004223396],"domain_scores_gemma":[0.9977847,0.00113031,0.0003416433,0.0002764942,0.0003825526,0.00008445343],"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":[0.00007608304,0.00001145823,0.0753384,0.00001003645,0.0001430827,0.00004421164,0.00006431228,0.9184083,0.0006290121,0.0006474549,0.0003334488,0.004294279],"study_design_scores_gemma":[0.00002844993,0.00002544737,0.07229012,0.00002074412,0.00004716536,0.00002770229,0.00006877458,0.9241016,0.000775599,0.001639868,0.0009298822,0.00004455963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912528,0.0001817057,0.005249796,0.0002543635,0.00001688645,0.000005846168,0.0007080854,0.000219371,0.002111187],"genre_scores_gemma":[0.9989052,0.00003169303,0.0006007324,0.00001534265,0.000003605228,0.000003612755,0.0002978331,0.00001751601,0.0001245455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9072533,"threshold_uncertainty_score":0.1844139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123998254031833,"score_gpt":0.2679645071721173,"score_spread":0.236724524631799,"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."}}