{"id":"W2916174774","doi":"10.5194/tc-14-2449-2020","title":"Using a composite flow law to model deformation in the NEEM deep ice core, Greenland – Part 2: The role of grain size and premelting on ice deformation at high homologous temperature","year":2020,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; 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; Natural Resources Canada; Fonds Wetenschappelijk Onderzoek; 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":"Premelting; Dislocation creep; Strain rate; Grain size; Geology; Creep; Slip (aerodynamics); Microstructure; Deformation mechanism; Materials science; Grain boundary; Deformation (meteorology); Mineralogy; Composite material; Melting point; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003387949,0.0001550182,0.0001712702,0.000005409587,0.0007094368,0.00007937833,0.0002568749,0.00006384199,0.00005329269],"category_scores_gemma":[0.00003876776,0.00008023488,0.00004296948,0.0003785474,0.00007814777,0.000184056,0.00004733461,0.0001976748,0.0000114406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001341783,"about_ca_system_score_gemma":0.00001636183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00464464,"about_ca_topic_score_gemma":0.04182464,"domain_scores_codex":[0.9989315,0.0001133443,0.0002910271,0.0001686935,0.000267103,0.0002283615],"domain_scores_gemma":[0.9991884,0.000367769,0.0001375856,0.0001990416,0.00005359438,0.00005365547],"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":[0.0002111615,0.00002028129,0.05533594,0.00004335897,0.00003319001,0.000002350176,0.02149916,0.9134404,0.0003371454,0.0006333588,0.000456728,0.007986916],"study_design_scores_gemma":[0.0002816186,0.0001104205,0.1423061,0.00003356131,0.0000338908,0.00001302867,0.004387614,0.8501902,0.00003284982,0.0008061291,0.001673699,0.0001308753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952705,0.0007680608,0.0003065253,0.002078426,0.00007219383,0.0005151358,0.00007513111,0.00001924959,0.0008947609],"genre_scores_gemma":[0.994038,0.00003722384,0.001543044,0.004212677,0.00008334148,0.000007422441,0.00004635866,0.000005031161,0.00002686174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08697019,"threshold_uncertainty_score":0.9756595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296090407686021,"score_gpt":0.2121886254530435,"score_spread":0.1892277213761833,"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."}}