{"id":"W2966594155","doi":"10.1103/physrevfluids.4.074606","title":"Evolution of wall shear stress with Reynolds number in fully developed turbulent channel flow experiments","year":2019,"lang":"en","type":"article","venue":"Physical Review Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds number; Turbulence; Shear stress; Physics; Probability density function; Shear flow; Mechanics; Statistical physics; Mathematics; Mathematical physics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003860826,0.0003217063,0.0002445297,0.0002874265,0.0003268889,0.0005352821,0.0002250491,0.0002906401,0.0005311047],"category_scores_gemma":[0.0007442793,0.0002323062,0.0002000947,0.0002107502,0.0006387993,0.0003809152,0.0003284167,0.0004702593,0.00009075279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218306,"about_ca_system_score_gemma":0.0002702832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267566,"about_ca_topic_score_gemma":0.001730643,"domain_scores_codex":[0.9998234,0.00002728583,0.00002085873,0.00004247899,0.00004275516,0.00004320126],"domain_scores_gemma":[0.9994339,0.0002140831,0.0001096958,0.00008624684,0.0000860472,0.00006996802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001380077,0.0005190642,0.007081093,0.00004520256,0.00002875212,0.00007392452,0.0002583964,0.003288286,0.9777032,0.0007421445,0.0001656327,0.008714313],"study_design_scores_gemma":[0.0001133314,0.003159739,0.08980241,0.00001364108,0.00004473085,0.00007719994,0.00008910862,0.02123557,0.8842683,0.0005085502,0.000580079,0.0001074473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985009,0.00002948696,0.001047749,0.000009886543,0.000005376292,0.000008614212,0.0001222622,0.00003793002,0.0002376697],"genre_scores_gemma":[0.9980755,0.00006645832,0.001302358,0.00001039966,0.000003986594,0.00001821738,0.0001352465,0.00001309647,0.0003747209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001267566,"threshold_uncertainty_score":0.002520323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009009809026184016,"score_gpt":0.2426628196089229,"score_spread":0.2336530105827389,"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."}}