{"id":"W4389922862","doi":"10.5194/tc-17-5373-2023","title":"Control of the temperature signal in Antarctic proxies by snowfall dynamics","year":2023,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Japan Agency for Marine-Earth Science and Technology","keywords":"Snow; Climatology; Anomaly (physics); Precipitation; Environmental science; Atmospheric sciences; Polar; Antarctic ice sheet; Snow cover; Geology; Cryosphere; Meteorology; Sea ice; Geography","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":[0.0003695202,0.0003423417,0.0002832859,0.0002674316,0.0001974126,0.0007956761,0.0002630399,0.0002944247,0.0006604138],"category_scores_gemma":[0.0008645498,0.0001822263,0.0003739799,0.0004672512,0.0001992242,0.0003858226,0.000288355,0.0001877983,0.0001558416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792866,"about_ca_system_score_gemma":0.0003870244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008377533,"about_ca_topic_score_gemma":0.008359778,"domain_scores_codex":[0.9998602,0.00005962488,0.000008454404,0.00003766836,0.00001479197,0.00001930771],"domain_scores_gemma":[0.9997942,0.00008889486,0.0000427564,0.00002673801,0.00002441834,0.0000229873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000770102,0.0001084977,0.5730731,0.0001838232,0.0009500004,0.0002544841,0.0002297632,0.3212752,0.07631595,0.001632862,0.0009265491,0.02427967],"study_design_scores_gemma":[0.00005583531,0.00007518767,0.4604378,0.00002234517,0.0001086641,0.00006319064,0.0001048401,0.5292657,0.007618355,0.0007752966,0.001440031,0.0000327439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946252,0.0002323728,0.003559617,0.00004977782,0.00001436537,0.000006716661,0.0006308113,0.0001021723,0.0007789874],"genre_scores_gemma":[0.9987702,0.00006832293,0.0006892196,0.000007273947,0.000005164744,0.000004548704,0.0003353291,0.00001669529,0.0001033597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008377533,"threshold_uncertainty_score":0.01665753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007148130687103338,"score_gpt":0.1891718821625872,"score_spread":0.1820237514754839,"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."}}