{"id":"W3133015330","doi":"10.5194/tc-15-3655-2021","title":"Upstream flow effects revealed in the EastGRIP ice core using Monte Carlo inversion of a two-dimensional ice-flow model","year":2021,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Office of Polar Programs; National Institute of Polar Research; Universitetet i Bergen; Institut Polaire Français Paul Emile Victor; Lilly Endowment; Beijing Normal University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Trond Mohn stiftelse; Chinese Academy of Sciences; Western Canada Research Grid; A.P. Møller og Hustru Chastine Mc-Kinney Møllers Fond til almene Formaal; National Science Foundation; Compute Canada; Eli Lilly and Company; National Aeronautics and Space Administration; Villum Fonden","keywords":"Ice stream; Ice core; Geology; Ice sheet; Ice divide; Greenland ice sheet; Snow; Arctic ice pack; Sea ice thickness; Cryosphere; Antarctic sea ice; Sea ice; Geomorphology; Climatology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003276044,0.0002021138,0.0002862451,0.00001042616,0.0003717803,0.00003751414,0.0003181889,0.00007400898,0.0003374605],"category_scores_gemma":[0.00005698977,0.0001249769,0.0001362598,0.0006187291,0.000112508,0.0001218121,0.00006023268,0.0002479763,0.00002223526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001601185,"about_ca_system_score_gemma":0.0001477601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008118869,"about_ca_topic_score_gemma":0.03195614,"domain_scores_codex":[0.9984462,0.0001698995,0.0003014686,0.0003063955,0.0004394778,0.000336575],"domain_scores_gemma":[0.998734,0.0005302728,0.0001289356,0.0004163017,0.0001247023,0.00006578116],"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":[0.00004442301,0.00004275134,0.08683045,0.00004093035,0.00003692094,0.00003840852,0.00107786,0.9033587,0.0001065542,0.00001537487,0.003431341,0.004976274],"study_design_scores_gemma":[0.0005930631,0.00004690401,0.07295749,0.0001003758,0.00006456766,0.00001652057,0.0009497468,0.9240814,0.00002191163,0.0004785346,0.0005416474,0.0001478125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942167,0.003637305,0.0002730809,0.0005484838,0.0003056524,0.0003187702,0.00008105487,0.00001874803,0.0006002055],"genre_scores_gemma":[0.9915253,0.00005874704,0.006786948,0.0009848311,0.0001069033,0.000004368122,0.00003894028,0.000007741231,0.0004862052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02383727,"threshold_uncertainty_score":0.9984862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315998774076518,"score_gpt":0.2362361669582603,"score_spread":0.2046362895506085,"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."}}