{"id":"W4247019941","doi":"10.5194/acp-2018-585","title":"Quantifying the variability of the annular modes: Reanalysis uncertainty vs. sampling uncertainty","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; National Science Foundation","keywords":"Extratropical cyclone; Stratosphere; Climatology; Troposphere; Environmental science; Polar vortex; Sampling (signal processing); Northern Hemisphere; Jet stream; Mode (computer interface); Atmospheric sciences; Arctic oscillation; Geopotential height; Jet (fluid); Meteorology; Geology; Precipitation; Geography; Physics","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":[0.01439157,0.0006908788,0.0005666037,0.001880177,0.0002326478,0.001441776,0.0006223426,0.0003353386,0.0004215576],"category_scores_gemma":[0.04542856,0.0002615841,0.0007194747,0.002605443,0.0005237103,0.001358776,0.0009837089,0.0004558603,0.00009197117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077273,"about_ca_system_score_gemma":0.0004170724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0082927,"about_ca_topic_score_gemma":0.00720804,"domain_scores_codex":[0.9955722,0.002445393,0.0003850251,0.0005894736,0.0008926229,0.0001153424],"domain_scores_gemma":[0.9598056,0.02967089,0.003282077,0.004179764,0.002891191,0.0001704676],"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":[0.0004086823,0.00008392282,0.609569,0.000270785,0.003263911,0.0002013467,0.0005828399,0.2791098,0.004945211,0.006447522,0.001342113,0.09377492],"study_design_scores_gemma":[0.0000316165,0.0002211837,0.4376782,0.0001455847,0.0005960736,0.0002391447,0.0003680607,0.5390319,0.007229294,0.0105353,0.003755647,0.0001680996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.828766,0.002493503,0.1587131,0.0002197631,0.00006114761,0.00011039,0.005368539,0.0004816048,0.003785945],"genre_scores_gemma":[0.979157,0.000332056,0.01845391,0.00003243589,0.00003818639,0.00005258251,0.001689984,0.00004226526,0.000201649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01439157,"threshold_uncertainty_score":0.07611084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05218624301528547,"score_gpt":0.280375176687653,"score_spread":0.2281889336723676,"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."}}