{"id":"W4213239123","doi":"10.1525/elementa.2021.000046","title":"Overview of the MOSAiC expedition: Snow and sea ice","year":2022,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":323,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Manitoba; University of Victoria; University of Calgary","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Sea ice; Snow; Cryosphere; Arctic; Arctic ice pack; Climatology; Environmental science; Satellite; Antarctic sea ice; Sea ice thickness; Geology; Remote sensing; Oceanography; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006569573,0.00007313496,0.0001052069,0.00003037616,0.0011452,0.00001504305,0.0008072915,0.00000907402,0.003108966],"category_scores_gemma":[0.00004330531,0.00004200838,0.00005102262,0.0006886461,0.001696624,0.0001943736,0.0002869185,0.0001063499,0.000001911231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274785,"about_ca_system_score_gemma":0.0001539931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088019,"about_ca_topic_score_gemma":0.00009739546,"domain_scores_codex":[0.9986284,0.00007866992,0.0001894724,0.0001785721,0.0007192317,0.0002056634],"domain_scores_gemma":[0.9993725,0.00006012549,0.0001843632,0.0003072835,0.00003495631,0.00004081602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002218955,0.0000789376,0.9725853,0.00005913853,0.00001685355,0.000001161163,0.0009410724,0.001099878,0.0006636989,0.001474118,0.002595631,0.02046201],"study_design_scores_gemma":[0.0005413046,0.0003513323,0.9565744,0.00009032357,0.00006014833,0.00007152925,0.009789988,0.01423676,0.009701906,0.004137423,0.004199962,0.0002449712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934046,0.0004115338,0.00001723122,0.003255509,0.000809989,0.000173319,0.0002460308,0.000005080623,0.001676766],"genre_scores_gemma":[0.9990382,0.0002188485,0.0002053661,0.0004167368,0.00002884778,9.407277e-7,0.000007951178,0.000001546388,0.00008156089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02021704,"threshold_uncertainty_score":0.9978023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084189677522125,"score_gpt":0.2575138634868637,"score_spread":0.2366719667116425,"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."}}