{"id":"W4223439922","doi":"10.1080/07055900.2022.2060178","title":"Snow Depth on Sea Ice and on Land in the Canadian Arctic from Long-Term Observations","year":2022,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Snow; Sea ice; Arctic ice pack; Arctic; Cryosphere; Climatology; Snow field; Snow line; Antarctic sea ice; Physical geography; Environmental science; Oceanography; Arctic sea ice decline; Arctic geoengineering; Geology; Geography; Snow cover; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002452346,0.0001326959,0.0001173054,0.000007934284,0.0007141209,0.00008179576,0.0002873092,0.00003981514,0.001370223],"category_scores_gemma":[0.00005001562,0.000100542,0.00003086335,0.0002382545,0.00006382239,0.00008987512,0.00001635942,0.0003773984,0.00004756954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004676869,"about_ca_system_score_gemma":0.0001515958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5405676,"about_ca_topic_score_gemma":0.9114472,"domain_scores_codex":[0.9988548,0.0001425019,0.0001405642,0.0002579462,0.0002947956,0.0003094591],"domain_scores_gemma":[0.9990945,0.0004708492,0.00004722077,0.0002374443,0.00001486923,0.0001351086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002378741,0.00002079076,0.9875193,0.000004085537,0.00001047078,0.00007928735,0.0008480784,0.005006074,4.993952e-8,0.0002029294,0.0004452138,0.005839949],"study_design_scores_gemma":[0.0002573617,0.0001640111,0.9868518,0.00001798085,0.00001587545,0.00001496043,0.0008006495,0.009280785,1.735768e-7,0.0007865208,0.001675622,0.0001343093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919149,0.00007101989,0.000005750756,0.002944574,0.0001828264,0.0001820727,0.0001941356,0.00001458115,0.004490149],"genre_scores_gemma":[0.9934434,0.00003116534,0.0001734653,0.005492861,0.0000771735,0.000001356785,0.0005113941,0.000006047629,0.0002631767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3708796,"threshold_uncertainty_score":0.9995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018686530270135,"score_gpt":0.2074822698864508,"score_spread":0.1887957396163158,"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."}}