{"id":"W1985959163","doi":"10.1016/j.jnnfm.2003.07.001","title":"Characterization of chaotic thermal convection of viscoelastic fluids","year":2003,"lang":"en","type":"article","venue":"Journal of Non-Newtonian Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attractor; Viscoelasticity; Lyapunov exponent; Phase portrait; Chaotic; Quasiperiodic function; Chaotic mixing; Newtonian fluid; Mechanics; Non-Newtonian fluid; Physics; Classical mechanics; Mathematics; Bifurcation; Statistical physics; Nonlinear system; Mathematical analysis; Thermodynamics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004116971,0.0001976349,0.000454062,0.0002959506,0.00003016032,0.00001549643,0.0001757354,0.0001422071,0.00008533235],"category_scores_gemma":[0.00005959172,0.0001863711,0.0001913162,0.0002924221,0.00001837893,0.0002175801,0.00001472677,0.0002207471,0.000006254457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008206654,"about_ca_system_score_gemma":0.00008794144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001717244,"about_ca_topic_score_gemma":9.620011e-7,"domain_scores_codex":[0.9984235,0.00004516243,0.0008682625,0.0001020507,0.0003400334,0.0002210159],"domain_scores_gemma":[0.9990761,0.00003743119,0.0003103786,0.0001887937,0.0002794253,0.0001079287],"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":[0.00003063463,0.00007372752,0.00005115747,0.0001624816,0.0001084021,0.000007807143,0.0001874798,0.02899349,0.9675475,0.002170595,0.00002185233,0.000644832],"study_design_scores_gemma":[0.0007314543,0.0003695672,0.0006204951,0.0001826593,0.0000920528,0.00007445156,0.0000204174,0.7514753,0.2458606,0.0001878333,0.0002314499,0.0001537864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992462,0.000157492,0.198522,0.00001804348,0.001641813,0.0001238978,0.00001328081,0.00001699875,0.0002602946],"genre_scores_gemma":[0.9974899,0.0003690555,0.001911718,0.00001541027,0.0001091844,0.000001724182,0.000005337774,0.00004965916,0.00004805287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7224818,"threshold_uncertainty_score":0.7599992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004964320041813144,"score_gpt":0.1864107423976797,"score_spread":0.1814464223558666,"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."}}