{"id":"W2151768611","doi":"10.1109/icma.2007.4303968","title":"Optimal Control of a Bleed Air Temperature Regulation System","year":2007,"lang":"en","type":"article","venue":"","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fuel efficiency; Temperature control; Control system; Control theory (sociology); Bleed; Control (management); Environmental control system; Optimal control; Computer science; Feedback control; Automotive engineering; System dynamics; Control engineering; Engineering; Mathematics; Electrical engineering","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":[0.0001322146,0.00006859223,0.0001034301,0.00005744207,0.00001735314,0.000006559967,0.00004440469,0.0000539139,0.000008722427],"category_scores_gemma":[0.000003185615,0.00006414024,0.00003788781,0.0001128029,0.000007755735,0.00003998177,0.000005160713,0.0000512527,0.000004141973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005457473,"about_ca_system_score_gemma":0.000007023345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005165335,"about_ca_topic_score_gemma":0.00001142223,"domain_scores_codex":[0.9995361,0.000003854195,0.0001896319,0.00006426603,0.000106263,0.00009990229],"domain_scores_gemma":[0.9997623,0.00004567047,0.00001628048,0.00007625719,0.00006872018,0.00003076777],"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":[0.000009265977,0.000005182188,0.000135376,0.0000463076,0.00002230945,0.000001518671,0.0000218207,0.9241019,0.03699279,0.03841015,0.00004238458,0.0002109261],"study_design_scores_gemma":[0.0003019278,0.00001161194,0.01618432,0.00001924428,0.000007302477,0.000006253478,0.00004823031,0.9824586,0.0008338333,0.00002637905,0.00003337275,0.0000689498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5962856,0.00003431842,0.4009788,0.00001289449,0.0001219678,0.00007030863,0.000007955302,0.0001301018,0.002357973],"genre_scores_gemma":[0.9949498,7.707873e-7,0.004834389,0.0000103158,0.0000486523,0.000001170857,0.00001858278,0.00001241717,0.000123885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3986641,"threshold_uncertainty_score":0.2615563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001822347349680949,"score_gpt":0.1727716891034041,"score_spread":0.1709493417537231,"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."}}