{"id":"W3104717749","doi":"10.1017/aog.2020.76","title":"A stratigraphy-based method for reconstructing ice core orientation","year":2020,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Universitetet i Bergen; Institut Polaire Français Paul Emile Victor; Beijing Normal University; Chinese Academy of Sciences; Office of Polar Programs; National Institute of Polar Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Bergens Forskningsstiftelse; Villum Fonden; National Science Foundation","keywords":"Geology; Stratigraphy; Ice core; Paleontology; Orientation (vector space); Core (optical fiber); Geomorphology; Oceanography; Geometry; Tectonics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707858,0.00006067369,0.0001550942,0.00001365299,0.00008812208,0.000004541854,0.00007142431,0.00004046197,0.0002995484],"category_scores_gemma":[0.0002442127,0.00005261386,0.0000699051,0.0001656839,0.00005914869,0.00004614975,0.000002658694,0.00004232799,0.000004012388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":2.664333e-7,"about_ca_system_score_gemma":0.00003212187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003147416,"about_ca_topic_score_gemma":0.0005028833,"domain_scores_codex":[0.9994389,0.00003723356,0.000192023,0.0001493572,0.00004594255,0.0001365824],"domain_scores_gemma":[0.9991226,0.0005461627,0.0001231542,0.00005599546,0.0001043595,0.00004777823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002331147,0.000009944173,0.8879535,0.00006579854,0.00006701654,0.000001044716,0.0006847954,0.004200148,0.0003018753,0.003559141,0.003365814,0.09955778],"study_design_scores_gemma":[0.0008528584,0.001700868,0.786755,0.00001515242,0.00004457954,0.000003025669,0.003674185,0.1664871,0.001380317,0.01015535,0.02866704,0.0002645461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283385,0.000591353,0.06114153,0.008033301,0.0002757412,0.0002883766,0.0002402773,0.00003372704,0.001057166],"genre_scores_gemma":[0.8983009,0.00003570829,0.09703966,0.004372988,0.0001096485,0.000003491471,0.0001305741,0.00000186472,0.000005159576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1622869,"threshold_uncertainty_score":0.3279845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939399808834747,"score_gpt":0.356383716819566,"score_spread":0.1624437359360913,"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."}}