{"id":"W2753596622","doi":"10.5194/se-8-883-2017","title":"EBSD analysis of subgrain boundaries and dislocation slip systems in Antarctic and Greenland ice","year":2017,"lang":"en","type":"article","venue":"Solid Earth","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; National Institute of Polar Research; Centre National de la Recherche Scientifique; Deutsche Forschungsgemeinschaft; Korea Polar Research Institute; Institut Polaire Français Paul Emile Victor; Natural Resources Canada; Fonds Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Utrecht; Office of Polar Programs; Fonds De La Recherche Scientifique - FNRS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Electron backscatter diffraction; Geology; Slip (aerodynamics); Dislocation; Grain boundary; Diffraction; Ice core; Mineralogy; Geometry; Materials science; Optics; Composite material; Microstructure; Physics; Oceanography","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":[0.0001443883,0.0002183293,0.0002018606,0.002062038,0.0002802075,0.0003294579,0.0001213586,0.0002021753,0.0003764561],"category_scores_gemma":[0.0001399623,0.00009875849,0.0001176044,0.0007936913,0.0002780156,0.000138881,0.0002207798,0.0001058127,0.0001063536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757751,"about_ca_system_score_gemma":0.0001419733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006039974,"about_ca_topic_score_gemma":0.01229245,"domain_scores_codex":[0.99993,0.000003395605,0.000006482125,0.00002266998,0.00002450129,0.00001295575],"domain_scores_gemma":[0.9998453,0.00001827669,0.00003474256,0.00001003409,0.00007288298,0.00001889127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001707812,0.00002972905,0.1098313,0.0001396827,0.00004930842,0.0005011613,0.000689366,0.0007985819,0.8716649,0.00009448747,0.0001487635,0.01588193],"study_design_scores_gemma":[0.000004445873,0.00004377779,0.887301,0.0000237062,0.00002944334,0.0005403921,0.0008758987,0.002259689,0.1064228,0.00006604458,0.002423987,0.00000869678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977914,0.000566238,0.0006069116,0.00001199213,0.000004116091,0.00000550209,0.0004695587,0.00001697778,0.0005273186],"genre_scores_gemma":[0.9944941,0.0003871832,0.003105341,0.00002747655,0.00000448657,0.000009972002,0.001210458,0.00001128345,0.0007495577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006039974,"threshold_uncertainty_score":0.01200962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047967195426275,"score_gpt":0.2442091603787876,"score_spread":0.2237294884245248,"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."}}