{"id":"W2078610166","doi":"10.1007/s00162-002-0068-7","title":"Transient Growth in Exactly Counter-Rotating Couette-Taylor Flow","year":2002,"lang":"en","type":"article","venue":"Theoretical and Computational Fluid Dynamics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Couette flow; Taylor–Couette flow; Transient (computer programming); Reynolds number; Mechanics; Taylor number; Physics; Mathematics; Flow (mathematics); Turbulence","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":[0.0003140434,0.0003750623,0.0004469084,0.0004813675,0.0006845213,0.001282164,0.0004456038,0.0007692167,0.001658383],"category_scores_gemma":[0.003732962,0.0002511329,0.0002576475,0.00025629,0.001271734,0.001322813,0.0007119665,0.0006047148,0.0002309581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008925666,"about_ca_system_score_gemma":0.0005021062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279849,"about_ca_topic_score_gemma":0.0007699692,"domain_scores_codex":[0.999859,0.00003052487,0.000006183161,0.00002406683,0.00003337094,0.00004681482],"domain_scores_gemma":[0.999029,0.0004372226,0.0001403642,0.00006823084,0.0001884798,0.0001365359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001767612,0.0003990093,0.007033458,0.0002864724,0.00004539986,0.002238746,0.001622602,0.3869611,0.1587899,0.40292,0.005628302,0.03230739],"study_design_scores_gemma":[0.00002667736,0.00004623976,0.001618822,0.000007106119,0.000008271711,0.0001359631,0.00008884586,0.9728541,0.01173823,0.01285319,0.0006014017,0.0000211148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917006,0.0005049019,0.06100972,0.0009831775,0.0002399342,0.00005185156,0.0001101921,0.0006557305,0.01943846],"genre_scores_gemma":[0.996237,0.00006269779,0.001474426,0.00002623104,0.00002050484,0.000008292125,0.00004183274,0.00003835908,0.002090518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00279849,"threshold_uncertainty_score":0.006476045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004420091211442457,"score_gpt":0.1802666501046132,"score_spread":0.1758465588931707,"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."}}