{"id":"W2616229707","doi":"10.1139/cjp-2016-0938","title":"Wavelet analysis on the drag-reducing characteristics of turbulent channel flow with surfactant additive based on experimental data","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intermittency; Turbulence; Physics; Drag; Mechanics; Particle image velocimetry; Reynolds number; Open-channel flow; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000284045,0.0002039747,0.0002283838,0.0005527438,0.0001061008,0.0001676408,0.0001126575,0.0001703181,0.0005114918],"category_scores_gemma":[0.0007189433,0.00008388829,0.0002040928,0.0006138646,0.0001865236,0.0002324332,0.00008493754,0.0002175743,0.00005754004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077436,"about_ca_system_score_gemma":0.0001190876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006120399,"about_ca_topic_score_gemma":0.0004637325,"domain_scores_codex":[0.9998828,0.00001367921,0.00001260569,0.0000220975,0.00005140872,0.0000174259],"domain_scores_gemma":[0.9996859,0.0001062677,0.00005267833,0.00002273233,0.0001139125,0.00001857058],"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":[0.0001538644,0.00004003195,0.003475233,0.00008673827,0.000008629409,0.00005759721,0.00005849615,0.002259007,0.9818289,0.0001462686,0.00004053691,0.01184457],"study_design_scores_gemma":[0.0000156885,0.0004183429,0.08094673,0.00001919334,0.00007152271,0.0001657626,0.000117334,0.08636735,0.830976,0.0001574958,0.0007019645,0.00004266595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858452,0.0001417106,0.01347627,0.00001490199,0.000007523478,0.00001101586,0.000120516,0.00003498951,0.0003478899],"genre_scores_gemma":[0.9923307,0.0002659451,0.006956458,0.000009662065,0.000004012382,0.00002370738,0.0002074947,0.00001184978,0.0001902675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006120399,"threshold_uncertainty_score":0.00171113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210700614391112,"score_gpt":0.2317092898715484,"score_spread":0.2096022837276373,"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."}}