{"id":"W2796141220","doi":"10.1017/jfm.2018.193","title":"Outer scales and parameters of adverse-pressure-gradient turbulent boundary layers","year":2018,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Unicode; Pressure gradient; Turbulence; Physics; Boundary layer; Adverse pressure gradient; Boundary (topology); Velocity gradient; Reynolds number; Length scale; Mechanics; Scale (ratio); Geometry; Mathematical analysis; Mathematics; Quantum mechanics","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":[0.0005717662,0.0009328772,0.0003487158,0.000931897,0.0005177396,0.001767712,0.000901652,0.0006095693,0.001100878],"category_scores_gemma":[0.001961552,0.0003768688,0.0004520273,0.0002392011,0.001245412,0.002171874,0.001658645,0.001557694,0.0002681776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000477304,"about_ca_system_score_gemma":0.0003267876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000644187,"about_ca_topic_score_gemma":0.0002060371,"domain_scores_codex":[0.999642,0.0000544522,0.00003806074,0.00009019701,0.0001102234,0.00006506444],"domain_scores_gemma":[0.9994973,0.0001122325,0.0001571293,0.00006527464,0.00007962395,0.00008838702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00022409,0.00009218244,0.01799985,0.000334837,0.00005219187,0.0009138655,0.0008325322,0.09858062,0.1170599,0.7228091,0.001650772,0.03945006],"study_design_scores_gemma":[0.00007157283,0.0001389819,0.05226519,0.0001739146,0.00006835906,0.0009744655,0.0005823051,0.5501146,0.04473692,0.326219,0.02432063,0.000334047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3702565,0.002182023,0.5736171,0.0007076057,0.0002803501,0.0001896663,0.0006032258,0.00074921,0.05141434],"genre_scores_gemma":[0.9596306,0.0006126036,0.03581175,0.00006767134,0.0001328814,0.00009093166,0.0001792219,0.0002201943,0.003254136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001767712,"threshold_uncertainty_score":0.003682792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007747409471768103,"score_gpt":0.2027793539519305,"score_spread":0.1950319444801624,"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."}}