{"id":"W4410862938","doi":"10.1080/07055900.2025.2507880","title":"Seasonal and Regional Antarctic Sea Ice Biases: A Closer Look at CMIP6","year":2025,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Sea ice; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002375738,0.0002610182,0.0002655754,0.00001078948,0.0004689871,0.00007971701,0.0002558166,0.0001233335,0.002703407],"category_scores_gemma":[0.00008032303,0.0002240447,0.00009876146,0.0003122336,0.0003189793,0.0002552723,0.00007424365,0.0002411416,0.0002042994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002947499,"about_ca_system_score_gemma":0.0001826181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00247842,"about_ca_topic_score_gemma":0.001781406,"domain_scores_codex":[0.9983204,0.0000850245,0.000266033,0.0004994638,0.0003361512,0.0004929492],"domain_scores_gemma":[0.9988219,0.0005189324,0.0000864838,0.0002838122,0.00006375754,0.0002251559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00014601,0.00002877493,0.96793,0.00005968516,0.00008197645,0.00004944031,0.0002297366,0.0005091862,0.000001910421,0.0004853983,0.01995034,0.01052755],"study_design_scores_gemma":[0.00111563,0.0001792739,0.8464283,0.0002006858,0.0001461286,0.0001937156,0.001277202,0.0767917,0.000009600152,0.003291375,0.06984691,0.0005194526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840851,0.0009241505,0.0001270779,0.002179733,0.0003668261,0.0001909129,0.00007696176,0.00008068362,0.01196852],"genre_scores_gemma":[0.9851438,0.0003773769,0.00177584,0.004137664,0.0001739504,5.450663e-7,0.0002128277,0.000009052704,0.008168985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215017,"threshold_uncertainty_score":0.9982083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112477972142574,"score_gpt":0.2180393721590675,"score_spread":0.2069145924376417,"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."}}