{"id":"W4415387013","doi":"10.5194/tc-19-4701-2025","title":"Sea ice freeboard extrapolation from ICESat-2 to Sentinel-1","year":2025,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Deutsches Zentrum für Luft- und Raumfahrt; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Freeboard; Sea ice; Snow; Extrapolation; Altimeter; Elevation (ballistics); Ice cloud; Spatial distribution; Arctic ice pack","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001844745,0.0001550304,0.0001490591,0.00002096865,0.0003225501,0.00009752586,0.0003699213,0.00008235354,0.003531511],"category_scores_gemma":[0.00002165034,0.0001121997,0.00007308303,0.0003468708,0.0000659185,0.0001380988,0.00003400242,0.0001934673,0.0009033019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008793188,"about_ca_system_score_gemma":0.00007039671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01804083,"about_ca_topic_score_gemma":0.02828379,"domain_scores_codex":[0.998889,0.00007036318,0.0002133162,0.0002898052,0.0002329847,0.0003045769],"domain_scores_gemma":[0.9991919,0.0002658257,0.0000608198,0.0003363717,0.0000448049,0.0001002644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006420941,0.00001671499,0.917654,0.0000162441,0.00006110691,0.000007870777,0.0005110924,0.00230773,0.0000399161,0.0003070772,0.01226227,0.06675176],"study_design_scores_gemma":[0.000244852,0.00002467048,0.8536878,0.00004237423,0.00005865471,0.00000222878,0.0007345388,0.04430508,0.00001292221,0.003644148,0.0970475,0.000195288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330017,0.0003568683,0.01060241,0.003930653,0.0009016591,0.0002895186,0.0001329787,0.0001064637,0.05067777],"genre_scores_gemma":[0.9880863,0.00002322996,0.001837631,0.003205555,0.0002338854,0.000002078464,0.0001453951,0.000004729567,0.006461146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08478523,"threshold_uncertainty_score":0.9998746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007439208461615879,"score_gpt":0.2116526856154179,"score_spread":0.204213477153802,"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."}}