{"id":"W2891907823","doi":"","title":"Arctic sea ice retreat and mixed-layer processes","year":2018,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Sea ice; Arctic ice pack; Climatology; Arctic sea ice decline; Arctic; Climate change; Climate model; Geology; Forcing (mathematics); Oceanography; Global warming; Mixed layer; Lead (geology); Cryosphere; Environmental science; Antarctic sea ice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003663965,0.0005057742,0.0002174465,0.0002957732,0.0003281738,0.001312107,0.0004788527,0.0005080204,0.001564018],"category_scores_gemma":[0.0008551388,0.0002465373,0.0008606005,0.0003887128,0.0003714986,0.0009458984,0.0007121388,0.0003972307,0.0001783767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197028,"about_ca_system_score_gemma":0.0005730396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178803,"about_ca_topic_score_gemma":0.01159308,"domain_scores_codex":[0.9999161,0.00002141383,0.000005741549,0.00002130467,0.00001239829,0.00002307088],"domain_scores_gemma":[0.9998171,0.00004813057,0.00006635895,0.00001310949,0.00002719027,0.00002819451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002695323,0.0001609752,0.2080527,0.0003543189,0.0005951659,0.0006261969,0.0007686773,0.6630862,0.02404712,0.07597081,0.001877032,0.02419127],"study_design_scores_gemma":[0.00009480708,0.000185216,0.255787,0.0001141189,0.0002282282,0.0001079957,0.000383664,0.7004399,0.003146825,0.03167661,0.007762913,0.00007278449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805008,0.002427694,0.004913671,0.0006302098,0.00007355428,0.00001965922,0.0004112572,0.00005393101,0.01096934],"genre_scores_gemma":[0.996219,0.001283025,0.0007506627,0.00004641896,0.00003592841,0.000009230505,0.0001691357,0.00001416846,0.001472428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02178803,"threshold_uncertainty_score":0.04332244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210200258452941,"score_gpt":0.1965443268309882,"score_spread":0.1844423242464588,"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."}}