{"id":"W4402780708","doi":"10.5194/tc-18-4399-2024","title":"Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean","year":2024,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"National Key Research and Development Program of China; Horizon 2020; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Sciences; Swedish National Space Agency; National Natural Science Foundation of China; Norges Forskningsråd; Sight Research UK","keywords":"Satellite; Snow; Microwave; Remote sensing; Geology; Sea ice; Oceanography; Climatology; Cryosphere; Morphology (biology); Environmental science; Geomorphology; Physics; Astronomy; Paleontology","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":[0.0004609117,0.000151291,0.0001376206,0.0000176668,0.00026605,0.00008690184,0.0005023955,0.00007625777,0.0002812968],"category_scores_gemma":[0.00004468334,0.00007097582,0.00007953109,0.0003995486,0.000310744,0.0001095296,0.00001774273,0.0004167078,0.0001734267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007636464,"about_ca_system_score_gemma":0.00007545623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005576538,"about_ca_topic_score_gemma":0.01902648,"domain_scores_codex":[0.9987954,0.0002030277,0.0002505489,0.0002280243,0.000244376,0.0002785971],"domain_scores_gemma":[0.998116,0.001388298,0.00008839665,0.0003422453,0.00003566733,0.00002945301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006643571,0.00003326384,0.9305248,0.00007501939,0.00007533628,0.00007787831,0.01824763,0.02445018,0.0002081501,0.001919298,0.0008460858,0.02347598],"study_design_scores_gemma":[0.0001377753,0.00008118935,0.9714788,0.0001386564,0.00004773506,0.00004799164,0.008160513,0.01079787,0.00002248191,0.002514193,0.006420792,0.0001519519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952029,0.0005931542,0.0000962899,0.002516867,0.0001821224,0.0002307884,0.0001142957,0.0000193104,0.001044299],"genre_scores_gemma":[0.997277,0.0001500212,0.00006853117,0.001951899,0.00008315784,0.000001784984,0.00004223779,0.000006884579,0.0004185183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04095411,"threshold_uncertainty_score":0.9988737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282797085439746,"score_gpt":0.2343553215388634,"score_spread":0.211527350684466,"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."}}