{"id":"W2055597748","doi":"10.1002/jqs.854","title":"Surface exposure dating of the Great Aletsch Glacier Egesen moraine system, western Swiss Alps, using the cosmogenic nuclide <sup>10</sup>Be","year":2004,"lang":"en","type":"article","venue":"Journal of Quaternary Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Moraine; Geology; Glacier; Younger Dryas; Cosmogenic nuclide; Deglaciation; Surface exposure dating; Radiocarbon dating; Glacial period; Terminal moraine; Physical geography; Geomorphology; Geochemistry; Paleontology; Geography","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":[0.0001373049,0.000199645,0.00007673713,0.0006988771,0.0002719168,0.0003164224,0.0001161292,0.0001131015,0.0008590475],"category_scores_gemma":[0.000224353,0.00008247372,0.0001041088,0.0003862909,0.0002288267,0.0001027129,0.0003073232,0.00009609444,0.0001921591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503469,"about_ca_system_score_gemma":0.0001763008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03000361,"about_ca_topic_score_gemma":0.1110221,"domain_scores_codex":[0.9999173,0.00001023391,0.00000395384,0.00002372612,0.00003214714,0.00001268658],"domain_scores_gemma":[0.9998672,0.00002255181,0.00003846609,0.00001174288,0.0000454862,0.00001443101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001862157,0.00001487306,0.9428941,0.00003541799,0.00006494144,0.0002503635,0.0007097477,0.001390824,0.03661931,0.0001230678,0.0004775245,0.01723375],"study_design_scores_gemma":[0.000001301603,0.000009070008,0.9983214,0.000001465806,0.00000324208,0.00002797004,0.00003542143,0.0001788408,0.0007626039,0.000005687641,0.0006520151,9.312851e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978712,0.00008186154,0.0001138051,0.000009288853,0.000001536502,0.000002067782,0.0003422573,0.000009783152,0.001568232],"genre_scores_gemma":[0.9978703,0.0000777282,0.0003196012,0.000005236873,0.000003228751,0.000004942357,0.000909148,0.000005892368,0.0008039076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03000361,"threshold_uncertainty_score":0.05965793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653533888725512,"score_gpt":0.2835789731948216,"score_spread":0.2370436343075664,"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."}}