{"id":"W2059978624","doi":"10.1109/igarss.2014.6946644","title":"Towards the retrieval of multi-year sea ice thickness and deformation state from polarimetric C- and X-band SAR observations","year":2014,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Alberta","funders":"","keywords":"Synthetic aperture radar; Polarimetry; Remote sensing; Sea ice; C band; Geology; Backscatter (email); Radar; Computer science; Physics; Scattering; Climatology; Optics","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":[0.0007451752,0.0004373248,0.0002714443,0.001001642,0.000213783,0.0008624265,0.0004161086,0.0003315567,0.0004690364],"category_scores_gemma":[0.001252309,0.000217089,0.0002724033,0.0009715026,0.0002139365,0.0007708813,0.0002949861,0.0002678677,0.0004168333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919306,"about_ca_system_score_gemma":0.0008665443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322916,"about_ca_topic_score_gemma":0.01537742,"domain_scores_codex":[0.9998868,0.00002571151,0.000006822826,0.00003522876,0.00002918618,0.00001632363],"domain_scores_gemma":[0.9995933,0.00009459374,0.00008343555,0.00004235669,0.000152199,0.00003413819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008666042,0.0004425725,0.210816,0.000193856,0.0002169166,0.0001648021,0.0003185477,0.1330885,0.1439438,0.001328654,0.002261114,0.5063587],"study_design_scores_gemma":[0.00006487216,0.0002207153,0.1605419,0.00005647328,0.00006680771,0.0001493565,0.0003682103,0.8104391,0.02550353,0.0008840549,0.001661666,0.00004328355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127821,0.0004763466,0.08382474,0.0001032222,0.0000180834,0.00005483629,0.0005710197,0.0004005591,0.001769202],"genre_scores_gemma":[0.8456714,0.0002881374,0.1514934,0.00003570901,0.00001260286,0.00002468919,0.001335285,0.00002781277,0.00111111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01322916,"threshold_uncertainty_score":0.0263043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404420695898822,"score_gpt":0.2122598679677155,"score_spread":0.1882156610087272,"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."}}