{"id":"W1970759048","doi":"10.1017/s0022112005003563","title":"Finite-amplitude Rayleigh–Bénard convection and pattern selection for viscoelastic fluids","year":2005,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Viscoelasticity; Rayleigh number; Convection; Mechanics; Galerkin method; Elasticity (physics); Convective heat transfer; Amplitude; Physics; Rheology; Thermodynamics; Classical mechanics; Materials science; Natural convection; Optics; Finite element method","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":[0.000213276,0.0001897075,0.0001897672,0.0004239846,0.0001771063,0.0003579884,0.0001579784,0.0002464649,0.0004961045],"category_scores_gemma":[0.001035119,0.0001245614,0.000177558,0.0001408334,0.0004592238,0.0003224445,0.0002696354,0.0002168147,0.00009325667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795451,"about_ca_system_score_gemma":0.0001265802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004171925,"about_ca_topic_score_gemma":0.0003193378,"domain_scores_codex":[0.9999185,0.0000240813,0.000004369138,0.00001467501,0.0000209327,0.00001737879],"domain_scores_gemma":[0.9996895,0.0001226016,0.0001078618,0.00001741957,0.00002527278,0.00003743344],"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":[0.0001930878,0.00003618889,0.002545809,0.0001175722,0.00001316036,0.0001761231,0.0001686963,0.04500509,0.9255227,0.009244372,0.0001500139,0.01682716],"study_design_scores_gemma":[0.00003397324,0.0001098655,0.004832671,0.00001409874,0.000008458164,0.0001977949,0.0000410653,0.7758005,0.2122703,0.006012249,0.000647616,0.00003143186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695917,0.0007094011,0.02806971,0.00006536378,0.00001383788,0.00001120961,0.00001637775,0.00006478279,0.001457604],"genre_scores_gemma":[0.9959404,0.0001408102,0.003514775,0.000006383132,0.000003117721,0.000008263806,0.0000115482,0.000007454963,0.0003672533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004961045,"threshold_uncertainty_score":0.001659691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020135903135378,"score_gpt":0.2343002936807622,"score_spread":0.2240989346494085,"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."}}