{"id":"W2808030200","doi":"10.1029/2018gl077837","title":"Dependence of Present and Future European Temperature Extremes on the Location of Atmospheric Blocking","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Joint Research Centre; Norges Forskningsråd; Austrian Science Fund","keywords":"Blocking (statistics); Environmental science; Atmospheric sciences; Climatology; Meteorology; Climate extremes; Geology; Geography; Precipitation; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007161341,0.00006865037,0.00008294985,0.000006757807,0.0001437004,0.00001979784,0.0002608615,0.0000245676,0.0001504336],"category_scores_gemma":[0.0001089492,0.00004361851,0.00002363516,0.0003924918,0.0009155505,0.00007686808,0.0002661412,0.0002265244,0.00005220816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003057615,"about_ca_system_score_gemma":0.000008147019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003277438,"about_ca_topic_score_gemma":0.00001360482,"domain_scores_codex":[0.9984975,0.000339819,0.0001183943,0.0002311331,0.0005947258,0.0002184367],"domain_scores_gemma":[0.9992359,0.000305796,0.0000375158,0.0003211524,0.00004803563,0.00005158029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008701681,0.0001715878,0.002440426,0.0000519465,0.00001278042,0.000003091741,0.001811633,0.0004604451,0.9794849,0.001524691,0.004736263,0.009215279],"study_design_scores_gemma":[0.0008778198,0.001567315,0.8058604,0.0003906094,0.00003208202,0.000005476821,0.001867273,0.02740196,0.139557,0.00454322,0.01734748,0.0005493773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883741,0.00001598099,0.00003257324,0.009693508,0.00002779047,0.0001813279,0.000001827463,0.000005926183,0.001667022],"genre_scores_gemma":[0.9992194,0.00001781078,0.0001535353,0.0002664031,0.0002774488,0.000005489692,7.983284e-7,0.00000666494,0.00005245493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8399279,"threshold_uncertainty_score":0.3373384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322466977279803,"score_gpt":0.2835137996469838,"score_spread":0.2512671019190035,"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."}}