{"id":"W2069005389","doi":"10.1017/s0022112001004256","title":"Robust feedback control of Rayleigh–Bénard convection","year":2001,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Robustness (evolution); Planar; Rayleigh scattering; Convection; Physics; Linear-quadratic regulator; Shadowgraph; Feedback control; White noise; Computer science; Optimal control; Mathematics; Mechanics; Control engineering; Control (management); Engineering; Optics; Mathematical optimization","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":[0.000551159,0.0006417555,0.0006220316,0.0002171917,0.0002513145,0.0005773577,0.0004447641,0.0004334249,0.0004351062],"category_scores_gemma":[0.001450196,0.0001579981,0.0002449681,0.0001165167,0.0009581649,0.0003009344,0.001027148,0.000305767,0.00006508164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869888,"about_ca_system_score_gemma":0.000374116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00387022,"about_ca_topic_score_gemma":0.001491758,"domain_scores_codex":[0.9998123,0.00005367074,0.00000905389,0.00004012583,0.00004501867,0.0000398568],"domain_scores_gemma":[0.9994779,0.0002188231,0.0001518592,0.00002303598,0.00009843576,0.000029878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000168712,0.00003765558,0.0004559062,0.0000988959,0.00003093366,0.0001711965,0.0001105033,0.9352381,0.04110072,0.006524354,0.0002639826,0.01579909],"study_design_scores_gemma":[0.00001520803,0.00008688404,0.0001486783,0.000002086573,0.000004584923,0.000005587431,0.000005818981,0.9957052,0.002854487,0.001058497,0.0001079148,0.000004991023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5207065,0.0008109293,0.4730792,0.0004859109,0.0001229979,0.00004808702,0.00003601548,0.0005417705,0.004168491],"genre_scores_gemma":[0.9972787,0.00005856674,0.002287026,0.00001525464,0.00000792635,0.00001292033,0.000005221425,0.00000449274,0.0003298641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00387022,"threshold_uncertainty_score":0.007695377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019046546126666,"score_gpt":0.183529966450042,"score_spread":0.1733395009887753,"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."}}