{"id":"W4206704307","doi":"10.5194/tc-2021-381","title":"Antarctic sea ice types from active and passive microwave remote sensing","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Universität Hamburg; Deutsche Forschungsgemeinschaft; University of Tasmania; European Commission","keywords":"Sea ice; Antarctic sea ice; Cryosphere; Sea ice concentration; Drift ice; Sea ice thickness; Arctic ice pack; Ice shelf; Climatology; Oceanography; Arctic; Geology; Environmental 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":[0.0003123754,0.0005291379,0.0002279275,0.002126343,0.0001786084,0.00048499,0.0002525992,0.0002776355,0.00102135],"category_scores_gemma":[0.0004199352,0.0001383027,0.0004919673,0.001840706,0.00008146361,0.0004237585,0.0003189481,0.000204427,0.0007769939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843022,"about_ca_system_score_gemma":0.0002942109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00629175,"about_ca_topic_score_gemma":0.01085715,"domain_scores_codex":[0.9998252,0.00001746717,0.00002162063,0.00004273538,0.00006811507,0.00002505022],"domain_scores_gemma":[0.9997892,0.00001713663,0.00005236973,0.00002244621,0.00009871661,0.00002029158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005715743,0.0002506541,0.6149782,0.0009514776,0.0006011422,0.0005850635,0.0003608417,0.02317718,0.06124999,0.0004561027,0.01998004,0.2768377],"study_design_scores_gemma":[0.00004204143,0.00007855093,0.9478523,0.00009374348,0.0001816676,0.0002364816,0.0004288786,0.02800044,0.009784723,0.0002876141,0.01296384,0.00004964673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323624,0.001423671,0.009093312,0.00008654164,0.0001260625,0.0001215216,0.04933475,0.0004233094,0.007028462],"genre_scores_gemma":[0.8948187,0.001045936,0.02524047,0.0001070852,0.00009732561,0.0001489631,0.07608725,0.00006710771,0.002387147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00629175,"threshold_uncertainty_score":0.01251024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244815021933208,"score_gpt":0.2156456041177245,"score_spread":0.2031974538983924,"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."}}