{"id":"W613337129","doi":"","title":"Observations of radar penetration into snow on sea ice","year":2012,"lang":"en","type":"dissertation","venue":"UCL Discovery (University College London)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Sea ice; Sea ice concentration; Sea ice thickness; Remote sensing; Radar altimeter; Geology; Cryosphere; Radar; Snow field; Arctic ice pack; Arctic; Meteorology; Altimeter; Environmental science; Climatology; Snow cover; Oceanography; Geomorphology; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001490393,0.0002800944,0.0003563632,0.0002727335,0.0004847944,0.00002757649,0.0004023427,0.0002767192,0.00105594],"category_scores_gemma":[0.00004549381,0.0003027787,0.0001932294,0.0005445305,0.00008759931,0.001352107,0.0000169131,0.0003291986,0.0001449706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000539226,"about_ca_system_score_gemma":0.0003484969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006231845,"about_ca_topic_score_gemma":0.03055072,"domain_scores_codex":[0.9985341,0.0001001129,0.0002293929,0.0003504058,0.0004789749,0.0003069623],"domain_scores_gemma":[0.9988337,0.0002685919,0.0003383574,0.0003069752,0.0001222151,0.0001302008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006882193,0.001120598,0.7959245,0.002227607,0.001176148,0.0003078821,0.01460572,0.003474423,0.0008094648,0.1279657,0.01857615,0.02692958],"study_design_scores_gemma":[0.00059433,0.0002196406,0.9810427,0.0001907615,0.0002569967,0.000004200937,0.009551913,0.002166499,0.00005859304,0.0005562354,0.004888765,0.0004693158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739996,0.00009385249,0.0003146542,0.0002031485,0.0009967791,0.0003561441,0.002479341,0.00003519329,0.0215213],"genre_scores_gemma":[0.9416589,0.0001728099,0.000995099,0.00008695504,0.0001173577,2.37143e-7,0.01089402,0.00001066205,0.04606399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1851182,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186022049864041,"score_gpt":0.1929638310920145,"score_spread":0.1811036105933741,"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."}}