{"id":"W4221112041","doi":"10.5194/egusphere-egu22-2061","title":"Assimilation of CryoSat-2 radar Freeboard data in a global ocean-sea ice modelling system.","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Arctic ice pack; Sea ice thickness; Sea ice concentration; Climatology; Cryosphere; Oceanography; Arctic sea ice decline; Antarctic sea ice; Geology; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006417264,0.001136375,0.0005575516,0.0005819974,0.0003703977,0.000612834,0.000881033,0.0006451657,0.001966804],"category_scores_gemma":[0.0007764472,0.0004257194,0.0008435714,0.0009737706,0.0001632602,0.0008675751,0.0006994248,0.0007006266,0.001376029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006449014,"about_ca_system_score_gemma":0.001280041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04181026,"about_ca_topic_score_gemma":0.05409208,"domain_scores_codex":[0.9998226,0.00003104811,0.00001668737,0.00006448552,0.00004201554,0.00002319735],"domain_scores_gemma":[0.9997249,0.00001940666,0.00003308411,0.00005490435,0.0001417427,0.00002595472],"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":[0.0003472208,0.0003966379,0.03279711,0.0003373135,0.0006841933,0.0003771601,0.0002450949,0.7457435,0.02993007,0.003133776,0.06330483,0.1227031],"study_design_scores_gemma":[0.0001577306,0.00009729357,0.0294528,0.00005230586,0.0001237594,0.00003294431,0.00008301747,0.9406253,0.005960522,0.001659955,0.02168535,0.00006907127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5339939,0.002735034,0.2455986,0.002258116,0.004337908,0.0006730149,0.1649191,0.0151115,0.03037287],"genre_scores_gemma":[0.6733587,0.0006874945,0.1546146,0.0004369041,0.0002640928,0.0004345145,0.1638836,0.0005485558,0.005771495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04181026,"threshold_uncertainty_score":0.08313376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858303211777361,"score_gpt":0.2503578224996316,"score_spread":0.211774790381858,"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."}}