{"id":"W3045803040","doi":"10.5194/tc-14-2429-2020","title":"Using a composite flow law to model deformation in the NEEM deep ice core, Greenland – Part 1: The role of grain size and grain size distribution on deformation of the upper 2207 m","year":2020,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Fonds Wetenschappelijk Onderzoek; Natural Resources Canada; Centre National de la Recherche Scientifique; Korea Polar Research Institute; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Institut Polaire Français Paul Emile Victor; National Institute of Polar Research; Office of Polar Programs; Fonds De La Recherche Scientifique - FNRS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Creep; Grain size; Strain rate; Geology; Dislocation creep; Ice core; Deformation (meteorology); Viscoplasticity; Materials science; Geotechnical engineering; Mechanics; Constitutive equation; Composite material; Thermodynamics; Geomorphology; Climatology; Finite element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800508,0.0004246914,0.0002492472,0.0004286851,0.0002132679,0.0003768528,0.0005078425,0.0004551473,0.0003677527],"category_scores_gemma":[0.0004564234,0.0002411741,0.0006118171,0.0002201407,0.0003411931,0.0004387792,0.0001963649,0.000261423,0.0000910806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304215,"about_ca_system_score_gemma":0.0004588112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04588293,"about_ca_topic_score_gemma":0.03118761,"domain_scores_codex":[0.9999497,0.000009784876,0.000003759032,0.0000196316,0.000007572525,0.00000945887],"domain_scores_gemma":[0.999854,0.00006443295,0.00002622316,0.00001753583,0.00002588569,0.00001198779],"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":[0.0001131966,0.00009798178,0.07031876,0.00002329867,0.00004745085,0.00009649934,0.00005052196,0.9122036,0.01052571,0.0007420166,0.0001879103,0.005593061],"study_design_scores_gemma":[0.00001362844,0.00002992765,0.02400669,0.000001826755,0.000006343523,0.0000122286,0.000007408935,0.9745781,0.001099927,0.0001429687,0.00009607449,0.000004878883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993103,0.00006136514,0.005955731,0.00003373994,0.000004517906,0.00002106408,0.0001573499,0.00003688085,0.0006263905],"genre_scores_gemma":[0.9978003,0.00003007315,0.001793301,0.00001053071,0.000001895392,0.00001465541,0.0001299623,0.000009082106,0.0002101609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04588293,"threshold_uncertainty_score":0.09123176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331852505223306,"score_gpt":0.2157658441411997,"score_spread":0.1924473190889666,"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."}}