{"id":"W2026286304","doi":"10.1017/s0022112006003168","title":"Scaling of space–time modes with Reynolds number in two-dimensional turbulence","year":2007,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Intermittency; Turbulence; Physics; Reynolds number; Statistical physics; Multifractal system; Scaling; Fractal dimension; Dimension (graph theory); Mathematical analysis; Classical mechanics; Fractal; Mathematics; Mechanics; Geometry; Combinatorics","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":[0.0003838589,0.0002893867,0.000144366,0.000755497,0.0002189405,0.0005856744,0.0002824681,0.0002777965,0.0006407645],"category_scores_gemma":[0.003206545,0.0002462573,0.0001566471,0.0003207062,0.0009924027,0.001154355,0.0004167467,0.0006491446,0.0001636926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566333,"about_ca_system_score_gemma":0.0001231668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742846,"about_ca_topic_score_gemma":0.0002781739,"domain_scores_codex":[0.9998624,0.00002768321,0.000009974066,0.00003079668,0.00004708609,0.00002199124],"domain_scores_gemma":[0.998566,0.0006633963,0.0002557664,0.0002739448,0.0001553114,0.0000855431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005110821,0.0002661984,0.03319788,0.0002787427,0.00004968379,0.0007380996,0.001526849,0.3587725,0.3776548,0.134943,0.00129865,0.09076257],"study_design_scores_gemma":[0.00002164928,0.0001136631,0.02725811,0.00002598212,0.000009305534,0.0002304243,0.00008497105,0.9052061,0.0293907,0.03624951,0.001331915,0.0000776719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819491,0.0005874719,0.1122371,0.0002110911,0.00004470506,0.00002210338,0.00007442387,0.0002953287,0.004578804],"genre_scores_gemma":[0.9826313,0.0001629492,0.01662915,0.00001260578,0.00001626878,0.00001667476,0.00005605146,0.00004124282,0.0004337884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000755497,"threshold_uncertainty_score":0.002143502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004708671953684518,"score_gpt":0.2140760610770693,"score_spread":0.2093673891233848,"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."}}