{"id":"W2096034816","doi":"10.1029/2003jb002619","title":"Continuous GPS measurements of postglacial adjustment in Fennoscandia: 2. Modeling results","year":2004,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Post-glacial rebound; Geology; Geodesy; Global Positioning System; Deglaciation; Glacial period; Mantle (geology); Geophysics; Geomorphology; Computer science","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":[0.001447538,0.001359412,0.0005848965,0.0009667285,0.0007724822,0.001026817,0.002650747,0.00128228,0.001475493],"category_scores_gemma":[0.001027755,0.0005505116,0.001024595,0.001307334,0.0004568826,0.0006034747,0.0005339282,0.0007295054,0.0004332032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003357569,"about_ca_system_score_gemma":0.001603953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3440814,"about_ca_topic_score_gemma":0.1862773,"domain_scores_codex":[0.9996518,0.00007053444,0.00001620883,0.000120752,0.00006193708,0.00007874368],"domain_scores_gemma":[0.9995655,0.0001824335,0.00005458243,0.00003975299,0.0001229191,0.00003467892],"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":[0.0001323932,0.0002279233,0.1113526,0.00005699125,0.0001111203,0.00009456039,0.0001174181,0.8744149,0.0009915228,0.001209801,0.0008388579,0.01045183],"study_design_scores_gemma":[0.00007442328,0.00006800004,0.05296318,0.00001456863,0.0001038894,0.00002714085,0.00008394483,0.9441738,0.001206252,0.0004050976,0.0008326913,0.00004711187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888185,0.0002849474,0.003292599,0.0002695289,0.00001199403,0.00005866102,0.004402183,0.0001739163,0.002687668],"genre_scores_gemma":[0.9940628,0.0001568881,0.002538527,0.00002914253,0.00001408238,0.00005885763,0.0023366,0.00003657921,0.0007664756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3440814,"threshold_uncertainty_score":0.6841573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618779735429352,"score_gpt":0.3050834916745321,"score_spread":0.2488956943202386,"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."}}