{"id":"W1519949070","doi":"10.1002/grl.50193","title":"CryoSat‐2 estimates of Arctic sea ice thickness and volume","year":2013,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":854,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Environment Research Council; Deutsches Zentrum für Luft- und Raumfahrt; Alberta Ingenuity; Sight Research UK; European Space Agency; National Aeronautics and Space Administration; National Science Foundation","keywords":"Climatology; Data assimilation; Arctic; Arctic ice pack; Volume (thermodynamics); Sea ice; Geology; The arctic; Satellite; Environmental science; Oceanography; Physical geography; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003910564,0.0001253051,0.0002048473,0.00009191871,0.0002236961,0.00008956257,0.000272691,0.00005121356,0.00108697],"category_scores_gemma":[0.0003351111,0.00009810733,0.00005059269,0.000299439,0.0008734092,0.0003339172,0.00006303238,0.0004413885,0.0008525321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007381529,"about_ca_system_score_gemma":0.00004491545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02623521,"about_ca_topic_score_gemma":0.00009914996,"domain_scores_codex":[0.998132,0.00014294,0.0001758013,0.0002885766,0.000658857,0.0006018132],"domain_scores_gemma":[0.9983166,0.00102993,0.00004158749,0.0002246835,0.0001588207,0.0002283174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006202398,0.00007440607,0.9373778,0.0003338497,0.00006395415,0.00003077006,0.000789571,0.000210938,0.005737206,0.0006276834,0.003953109,0.05073873],"study_design_scores_gemma":[0.0001709674,0.0001400056,0.9477621,0.00004380138,0.000009951757,0.00001023927,0.0003016835,0.04371755,0.00006307375,0.007309579,0.0003293566,0.0001417492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909117,0.00004477186,0.0003883768,0.007604806,0.00006767383,0.0002225668,0.00001864513,0.00002098164,0.0007204929],"genre_scores_gemma":[0.9972767,0.00002904255,0.001692166,0.0006464642,0.0001166297,0.000004462471,0.00003189787,0.000005424791,0.0001971937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05059698,"threshold_uncertainty_score":0.9999254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887403589386187,"score_gpt":0.2595951824477647,"score_spread":0.2407211465539029,"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."}}