{"id":"W4415595803","doi":"10.5194/tc-19-5111-2025","title":"Combining observational data and numerical models to obtain a seamless high-temporal-resolution seasonal cycle of snow and ice mass balance at the MOSAiC Central Observatory","year":2025,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd; National Science Council; National Aeronautics and Space Administration; Canadian Space Agency; National Science Foundation","keywords":"Snow; Sea ice; Arctic ice pack; Arctic; Cryosphere; Antarctic sea ice; Sea ice thickness; Snow field","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069823,0.0005083072,0.0004586357,0.0003885212,0.0005204252,0.000778106,0.0007401116,0.0006869946,0.0009416604],"category_scores_gemma":[0.001855085,0.000480253,0.0008199356,0.000644323,0.0003762159,0.001038271,0.0007651906,0.0006540209,0.0001398533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097015,"about_ca_system_score_gemma":0.001499665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05577159,"about_ca_topic_score_gemma":0.04416153,"domain_scores_codex":[0.9997925,0.00005184629,0.00001837307,0.00005882724,0.00004576623,0.00003265569],"domain_scores_gemma":[0.9995,0.000155617,0.00006887574,0.000108041,0.00009335502,0.00007402435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007820367,0.0001372991,0.02607069,0.00003409494,0.0001531514,0.00004335489,0.00005386462,0.9593274,0.003638613,0.000908423,0.0004611929,0.009093675],"study_design_scores_gemma":[0.00001811394,0.00001110659,0.002578014,0.000002208656,0.00001060993,0.000002562052,0.000006961032,0.9966568,0.0003647051,0.0001658782,0.0001779651,0.00000513794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217952,0.0001974869,0.07213175,0.0004155165,0.0001223946,0.00007033048,0.0012279,0.001352281,0.002687043],"genre_scores_gemma":[0.9753808,0.00003288867,0.02367608,0.00003013671,0.000025299,0.00003692205,0.0006117305,0.00005198221,0.0001540701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05577159,"threshold_uncertainty_score":0.1108939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951294959638995,"score_gpt":0.2412382602465548,"score_spread":0.2017253106501649,"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."}}