{"id":"W3167463807","doi":"10.5194/egusphere-egu21-11311","title":"Investigating how platform height affects sea ice radar returns with KuKaSim","year":2021,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Freeboard; Altimeter; Radar; Radar altimeter; Sea ice; Sea ice thickness; Snow; Geology; Remote sensing; Sea ice concentration; Lidar; Climatology; Meteorology; Arctic ice pack; Environmental science; Geography; Geomorphology; Computer science","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":[0.0004235806,0.000303128,0.0001591057,0.0001564344,0.0001916165,0.0004675284,0.0003386542,0.0002136077,0.0008205575],"category_scores_gemma":[0.00119694,0.0001859307,0.0003975737,0.000310004,0.0002195729,0.0003917026,0.0003362383,0.0002528773,0.0002255507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403448,"about_ca_system_score_gemma":0.0004167642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387622,"about_ca_topic_score_gemma":0.01753197,"domain_scores_codex":[0.9998548,0.00002898266,0.000006831131,0.00003852361,0.00003631484,0.00003458069],"domain_scores_gemma":[0.9996564,0.000141744,0.00006751406,0.0000509653,0.00005953069,0.00002373737],"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":[0.0004352332,0.0001372046,0.2001877,0.000069039,0.0002118293,0.0002201067,0.0002281012,0.7335902,0.02452498,0.001272961,0.0007013076,0.03842141],"study_design_scores_gemma":[0.00001994634,0.0001885333,0.1334229,0.000009584863,0.00006537297,0.000078566,0.0001538758,0.8529009,0.01217645,0.000272052,0.000675364,0.00003636139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957314,0.00001646232,0.003285635,0.00002217505,0.000007589379,0.000004968979,0.0001050703,0.00005404226,0.0007726187],"genre_scores_gemma":[0.9977728,0.00001214359,0.001786599,0.000006162709,0.000001407972,0.000004378579,0.0001605291,0.00001235492,0.0002436103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387622,"threshold_uncertainty_score":0.02759093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348747112860578,"score_gpt":0.191188718421003,"score_spread":0.1777012472923972,"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."}}