{"id":"W2098381289","doi":"10.1029/2009gl038771","title":"On the origins of temporal power‐law behavior in the global atmospheric circulation","year":2009,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hurst exponent; Scaling; Power law; Statistical physics; Environmental science; Atmospheric circulation; Climate model; Climatology; Climate change; Temporal scales; Meteorology; Atmospheric sciences; Physics; Geology; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009448337,0.0002367605,0.0001245482,0.0004559937,0.0002545937,0.0005837498,0.0002823774,0.0002752466,0.001337361],"category_scores_gemma":[0.009321463,0.0001751844,0.000325713,0.000545542,0.0006821891,0.001323797,0.0002872674,0.000532263,0.0001760575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004784006,"about_ca_system_score_gemma":0.0002877292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005191809,"about_ca_topic_score_gemma":0.003480117,"domain_scores_codex":[0.9998745,0.00004423041,0.000007101115,0.0000339823,0.00002662937,0.00001353059],"domain_scores_gemma":[0.9973059,0.001766214,0.000362741,0.0003420438,0.0001663991,0.0000566849],"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":[0.0002506163,0.0001079402,0.2670891,0.000208474,0.0001881948,0.000790432,0.00120542,0.5080331,0.0212819,0.1138649,0.004027681,0.08295227],"study_design_scores_gemma":[0.00002211226,0.00003625745,0.0786529,0.00003810374,0.00002516933,0.0002037966,0.0001312723,0.8663076,0.003208823,0.04942853,0.001912034,0.00003338792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282408,0.0005927754,0.06225832,0.0009321417,0.00003598769,0.00002368893,0.0003252038,0.0002895414,0.007301458],"genre_scores_gemma":[0.9968568,0.0002377137,0.002433962,0.00002939439,0.00001991095,0.000008767675,0.0001395329,0.00004191525,0.0002319291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005191809,"threshold_uncertainty_score":0.01032317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951021672682697,"score_gpt":0.326292972300753,"score_spread":0.286782755573926,"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."}}