{"id":"W3025396210","doi":"10.1017/aog.2020.26","title":"Mechanisms driving the asymmetric seasonal cycle of Antarctic Sea Ice in the CESM Large Ensemble","year":2020,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Sea ice; Geology; Climatology; Antarctic sea ice; Lead (geology); Arctic ice pack; Divergence (linguistics); Drift ice; Atmospheric sciences; Oceanography; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035707,0.0002310139,0.0003678363,0.0005469861,0.000391303,0.0006252281,0.0004165654,0.0002884373,0.001158151],"category_scores_gemma":[0.003213703,0.0001663246,0.000343768,0.0005845944,0.0003023066,0.0004298007,0.0005308834,0.0002371717,0.0001272271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004041136,"about_ca_system_score_gemma":0.0003033694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009049982,"about_ca_topic_score_gemma":0.009581687,"domain_scores_codex":[0.9998035,0.00005862459,0.00001265101,0.00005630478,0.00003403447,0.00003484889],"domain_scores_gemma":[0.9991904,0.000225287,0.0001459748,0.0001931513,0.0001469422,0.00009813286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002896254,0.00009422428,0.823441,0.00005170821,0.000409101,0.0002529748,0.0002300709,0.139434,0.00943624,0.004648788,0.003660529,0.01805171],"study_design_scores_gemma":[0.00003331919,0.00004586002,0.6642563,0.00001012511,0.00005630065,0.000062864,0.0001234456,0.3296948,0.001639885,0.002338032,0.001700246,0.00003889996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968601,0.00005543057,0.001474839,0.00009103986,0.000009200488,0.000004386589,0.0005917289,0.00005364727,0.0008596466],"genre_scores_gemma":[0.9988765,0.00001476524,0.00029356,0.00001168801,0.00000735533,0.000004400776,0.0006827617,0.00001175741,0.00009717517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009049982,"threshold_uncertainty_score":0.01799458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999792667603916,"score_gpt":0.2583865763157576,"score_spread":0.2283886496397184,"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."}}