{"id":"W3110019116","doi":"10.5194/egusphere-egu2020-13027","title":"Internal variability of the Arctic Oscillation and its projections","year":2020,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Northern Hemisphere; Environmental science; Forcing (mathematics); Mediterranean climate; Arctic oscillation; North Atlantic oscillation; Arctic; Coupled model intercomparison project; Atmospheric sciences; Climate model; Climate change; Geography; Physics; Oceanography; Geology","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":[0.0008490616,0.0003536821,0.0001943943,0.0005218459,0.000258836,0.001329882,0.0002264179,0.0002740933,0.001644113],"category_scores_gemma":[0.001898008,0.0001534323,0.0006252225,0.001307861,0.0001904193,0.0005589525,0.0004857062,0.0006126506,0.0004448224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368643,"about_ca_system_score_gemma":0.000754841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02824739,"about_ca_topic_score_gemma":0.01478115,"domain_scores_codex":[0.9997532,0.00005785271,0.00001372052,0.00007697751,0.00007550786,0.00002266952],"domain_scores_gemma":[0.9995827,0.00007078212,0.00006072722,0.00006404048,0.0001921117,0.00002965731],"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":[0.0001108151,0.00005051151,0.1113583,0.0001175562,0.0004427817,0.0001708351,0.0002346481,0.7712231,0.00212253,0.0216383,0.02000498,0.07252566],"study_design_scores_gemma":[0.00002089333,0.00003085203,0.1580819,0.0001097443,0.000116003,0.00009937298,0.0001552502,0.78498,0.001278606,0.01330013,0.04175736,0.00006982114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230852,0.001427757,0.05770619,0.00198767,0.0007293684,0.00004159501,0.03586817,0.001224743,0.07792942],"genre_scores_gemma":[0.9736404,0.0007038116,0.007651162,0.00008255615,0.0001283719,0.00004156865,0.01513558,0.0001749982,0.002441569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02824739,"threshold_uncertainty_score":0.05616593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992167063394958,"score_gpt":0.2388660095206952,"score_spread":0.2089443388867457,"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."}}