{"id":"W2159641551","doi":"10.1109/igarss.2010.5654350","title":"Effects of surface roughness on sea ice freeboard retrieval with an Airborne Ku-Band SAR radar altimeter","year":2010,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsches Zentrum für Luft- und Raumfahrt; European Space Agency","keywords":"Freeboard; Snow; Remote sensing; Radar altimeter; Altimeter; Sea ice; Radar; Geology; Sea ice thickness; Surface roughness; Synthetic aperture radar; Radar imaging; Arctic ice pack; Space-based radar; Meteorology; Environmental science; Bistatic radar; Climatology; Geomorphology; Computer science; 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":[0.001221752,0.0004934131,0.0004153178,0.000419364,0.0002667089,0.0005837799,0.000278297,0.0005139624,0.0003108991],"category_scores_gemma":[0.003106277,0.0002313438,0.0004958248,0.0005311374,0.0002403748,0.0006616839,0.0003900228,0.0002608486,0.0001483905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938871,"about_ca_system_score_gemma":0.0001955729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01230828,"about_ca_topic_score_gemma":0.0126929,"domain_scores_codex":[0.9994385,0.0001531654,0.00004379525,0.0001080023,0.0001443598,0.0001121514],"domain_scores_gemma":[0.9978768,0.001194632,0.0001749618,0.000256476,0.0004339964,0.00006325263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002877003,0.0004164142,0.4112662,0.0002201789,0.0006200072,0.0005155992,0.0004103075,0.3480139,0.13499,0.0001494377,0.001134649,0.09938626],"study_design_scores_gemma":[0.000120915,0.000805365,0.6535665,0.00002983503,0.0002983546,0.000183859,0.0002494704,0.2956322,0.04807339,0.0001102904,0.0008345968,0.00009520043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980575,0.0001033273,0.001271826,0.00001761172,0.000007806587,0.000005357555,0.0002196483,0.00008507814,0.0002316305],"genre_scores_gemma":[0.9977795,0.00005165414,0.00130955,0.00001328131,0.00000569368,0.000004864465,0.0006788951,0.00002566505,0.0001308249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01230828,"threshold_uncertainty_score":0.02447325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005187944204183724,"score_gpt":0.1964444981899683,"score_spread":0.1912565539857845,"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."}}