{"id":"W1945829080","doi":"10.1029/2012gl052261","title":"Quantifying the relevance of atmospheric blocking for co‐located temperature extremes in the Northern Hemisphere on (sub‐)daily time scales","year":2012,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":421,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Blocking (statistics); Northern Hemisphere; Climatology; Atmospheric sciences; Atmospheric circulation; Forcing (mathematics); Latitude; Atmospheric temperature; Middle latitudes; 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":[0.0005268244,0.000170092,0.0002304518,0.0002674678,0.0002469746,0.0004904247,0.0001849797,0.0002469973,0.000734104],"category_scores_gemma":[0.002536525,0.00008854771,0.0002984051,0.0006163183,0.0002270488,0.0005502011,0.0003067942,0.0002705367,0.00006717951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898926,"about_ca_system_score_gemma":0.0002600389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009726519,"about_ca_topic_score_gemma":0.01330532,"domain_scores_codex":[0.9998418,0.00005912938,0.000009688187,0.00003513951,0.00002225967,0.00003196039],"domain_scores_gemma":[0.9978787,0.001269098,0.0005339983,0.0001330343,0.00007404629,0.0001112579],"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":[0.0004018134,0.00004609913,0.9342385,0.00007607091,0.0002346982,0.0001872532,0.000221996,0.03746881,0.01397602,0.0008613652,0.0002477071,0.01203975],"study_design_scores_gemma":[0.000004776286,0.00004104331,0.9755781,0.000004266874,0.00006480752,0.00004984119,0.00009694438,0.02257105,0.0007355352,0.0005396515,0.0003042438,0.000009653912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975587,0.0002095909,0.001159489,0.00003199824,0.000005536363,0.000003522491,0.0001367183,0.00001201445,0.0008823575],"genre_scores_gemma":[0.9996048,0.00005680581,0.0001767923,0.000002815877,0.00000771558,0.000001218825,0.0001090706,0.000003211526,0.0000375004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009726519,"threshold_uncertainty_score":0.0193398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230203701326302,"score_gpt":0.3175783170806794,"score_spread":0.2652762800674163,"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."}}