{"id":"W4288064518","doi":"10.1109/jstars.2022.3194324","title":"A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Sea ice; Remote sensing; Synthetic aperture radar; Sea ice concentration; Polarimetry; Sea ice thickness; Glaciology; Geology; Environmental science; Cryosphere; Oceanography; Scattering","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":[],"consensus_categories":[],"category_scores_codex":[0.001039433,0.0001094909,0.0004568704,0.0006641432,0.000243757,0.00003354871,0.000141703,0.00004153784,0.00002049096],"category_scores_gemma":[0.00006233783,0.0000805304,0.0001294651,0.003886197,0.00004743314,0.0001361306,0.00001278203,0.0005181544,7.706707e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001842624,"about_ca_system_score_gemma":0.0001136394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825311,"about_ca_topic_score_gemma":0.002775817,"domain_scores_codex":[0.9985206,0.0001746645,0.000516994,0.0001299341,0.0004631448,0.0001946971],"domain_scores_gemma":[0.9989324,0.0003884914,0.0003963183,0.0001101129,0.0001354304,0.00003721359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000741787,0.00004701831,0.2741081,0.00003793569,0.004090258,0.00006100528,0.002270233,0.6477482,0.0008462926,0.00009621732,0.00000181153,0.07061867],"study_design_scores_gemma":[0.0003808053,0.00008359263,0.6418577,0.00001585862,0.008509375,0.0001421949,0.002604783,0.3447709,0.0001249633,0.000728531,0.0005992377,0.0001820128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992929,0.001706724,0.004707064,0.0002268254,0.0001289382,0.0001037789,0.00001893975,0.000003259519,0.0001754409],"genre_scores_gemma":[0.9363669,0.0003923042,0.06306046,0.0000863729,0.00007709187,1.680831e-8,0.000007205545,0.000003138973,0.000006536281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677496,"threshold_uncertainty_score":0.3283934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06019764887542015,"score_gpt":0.2638871538216246,"score_spread":0.2036895049462045,"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."}}