{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002199871,0.0001266277,0.0001759452,0.000006770992,0.0002577864,0.00003589727,0.0003609693,0.00006574098,0.0007429708],"category_scores_gemma":[0.00002499672,0.00006797459,0.00007787945,0.0007865081,0.000156324,0.00006715889,0.00002687746,0.0002149593,0.00005052593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009934184,"about_ca_system_score_gemma":0.00005044776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006063398,"about_ca_topic_score_gemma":0.1062226,"domain_scores_codex":[0.9990066,0.00007526098,0.0002228343,0.0001720945,0.0002450449,0.0002781965],"domain_scores_gemma":[0.9993296,0.0002752379,0.0000823993,0.0002369713,0.00004316526,0.00003266893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000269059,0.00001758915,0.9712252,0.0000249696,0.00003661173,0.000003074459,0.000443175,0.007835395,0.00008223254,0.0001233843,0.01638799,0.003793444],"study_design_scores_gemma":[0.0003533852,0.00004995966,0.9425049,0.00002659405,0.00001920177,0.000002071794,0.001549607,0.04149724,0.00001130638,0.0005055785,0.0133678,0.0001123253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931945,0.001652422,0.00002954563,0.003378901,0.0003385674,0.0004130319,0.0002871108,0.00004117641,0.0006647346],"genre_scores_gemma":[0.9971309,0.0001090725,0.0000244854,0.0004482516,0.00005688703,0.000006991313,0.00004765422,0.000005028361,0.002170693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001592,"threshold_uncertainty_score":0.9166083,"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."}}