{"id":"W3001315270","doi":"10.1109/jstars.2020.2966880","title":"Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data","year":2020,"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":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Remote sensing; Reflectometry; Environmental science; Satellite; Surface roughness; Reference data; Specular reflection; Reflection (computer programming); Sea ice; Root mean square; Meteorology; Geology; Computer science; Optics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010956,0.001046433,0.0004855322,0.0009725203,0.0003824068,0.0006363977,0.0006760735,0.0005684635,0.0005265368],"category_scores_gemma":[0.0008666125,0.0002718688,0.0007187044,0.001196808,0.0003192024,0.0006164341,0.0005779893,0.0003576344,0.0004643082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829144,"about_ca_system_score_gemma":0.0003328473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008836485,"about_ca_topic_score_gemma":0.01490743,"domain_scores_codex":[0.9995622,0.00007802836,0.0000286508,0.0001069194,0.0001780478,0.00004624677],"domain_scores_gemma":[0.9994695,0.00006472597,0.00005846952,0.0001442092,0.0002157738,0.00004733105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143897,0.001218105,0.3011973,0.0007630231,0.0008262045,0.001739861,0.001147754,0.1211723,0.2624808,0.001152185,0.006198077,0.3006655],"study_design_scores_gemma":[0.000265984,0.001179427,0.5276322,0.0001127907,0.0004845217,0.0009726696,0.0007300962,0.2663934,0.190679,0.0005541106,0.01071539,0.0002803734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683965,0.0006974721,0.02046816,0.00009787683,0.00006719525,0.0001067418,0.004391824,0.0008514354,0.004922763],"genre_scores_gemma":[0.9326941,0.0004686104,0.0568096,0.00006118833,0.00004719321,0.00007192551,0.008750042,0.0001585038,0.0009389931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008836485,"threshold_uncertainty_score":0.01757008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08410004980777597,"score_gpt":0.2342294167833048,"score_spread":0.1501293669755288,"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."}}