{"id":"W2065316166","doi":"10.1016/j.ces.2008.10.011","title":"Predicting laminar–turbulent transition in Poiseuille pipe flow for non-Newtonian fluids","year":2008,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Laminar flow; Turbulence; Mechanics; Reynolds number; Hagen–Poiseuille equation; Laminar sublayer; Pipe flow; Laminar-turbulent transition; Newtonian fluid; Physics; Flow separation; Flow (mathematics); Thermodynamics; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631239,0.000216166,0.0002644967,0.0001637946,0.0001529775,0.00001216488,0.0003460439,0.0001369098,0.000006748629],"category_scores_gemma":[0.0004017378,0.0002229939,0.00008470188,0.0005788426,0.0002810048,0.0002127014,0.00006601817,0.0002872891,0.00000650683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050554,"about_ca_system_score_gemma":0.00005046758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008653366,"about_ca_topic_score_gemma":6.146035e-7,"domain_scores_codex":[0.9983605,0.000002778351,0.000307955,0.0004529501,0.0002415011,0.0006343518],"domain_scores_gemma":[0.9994144,0.0001341077,0.0000243543,0.0002144249,0.00007356922,0.0001390812],"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":[0.00001543526,0.00003620062,0.0003645874,0.00006547582,0.000006851025,0.00001293762,0.000844899,0.09169389,0.906487,0.0003793904,0.00002532013,0.0000679984],"study_design_scores_gemma":[0.000456717,0.00002274571,0.0008125285,0.00007307049,0.000005660395,0.00004649202,0.00002015082,0.8508214,0.1474847,0.00002069816,0.00002143552,0.000214329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169341,0.0001306057,0.3820527,0.0002037708,0.0001838323,0.0001736422,0.000006430657,0.0001649687,0.0001499218],"genre_scores_gemma":[0.9489614,0.00003255436,0.05054654,0.00005044719,0.0001257296,0.0000890985,0.00001019406,0.00002658724,0.0001574152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7591276,"threshold_uncertainty_score":0.9093428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006789125361587256,"score_gpt":0.2048856728683822,"score_spread":0.1980965475067949,"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."}}