{"id":"W4399320112","doi":"10.5194/egusphere-2024-1583","title":"Altimetric Ku-band Radar Observations of Snow on Sea Ice Simulated with SMRT","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Victoria; Environment and Climate Change Canada","funders":"European Space Agency","keywords":"Snow; Geology; Radar; Sea ice; Meteorology; Remote sensing; Geodesy; Climatology; Geography; Geomorphology; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000268416,0.0003981567,0.000269977,0.0002528457,0.0001588736,0.0003399113,0.0003238104,0.000339323,0.0005343326],"category_scores_gemma":[0.0003691588,0.0001642475,0.000490841,0.0003492563,0.0002244506,0.0002777912,0.0001545162,0.0002202673,0.000171893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006072298,"about_ca_system_score_gemma":0.0003434375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03342251,"about_ca_topic_score_gemma":0.01980156,"domain_scores_codex":[0.9998884,0.00002256847,0.000007242075,0.0000307133,0.00002187689,0.00002913131],"domain_scores_gemma":[0.9998469,0.00003604828,0.00002227698,0.00002607649,0.00005002498,0.00001859032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004678767,0.000147296,0.08974309,0.00005039911,0.0001565319,0.0002619665,0.00008809271,0.8823634,0.02001279,0.0002132461,0.0004565801,0.006038756],"study_design_scores_gemma":[0.00005840023,0.00009838798,0.08611618,0.000005417158,0.00002894138,0.00003076821,0.00004161113,0.9085494,0.004763687,0.00006754044,0.0002243279,0.00001534572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980115,0.00001268805,0.001083827,0.000009418261,0.000005454678,0.000006238784,0.0003604695,0.00006566055,0.0004447468],"genre_scores_gemma":[0.9988191,0.00001126531,0.0005106729,0.000005607616,0.000002094356,0.000005888124,0.0005048835,0.000006508366,0.0001339898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03342251,"threshold_uncertainty_score":0.06645596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500276359997671,"score_gpt":0.2268356609048399,"score_spread":0.2018328973048632,"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."}}