{"id":"W2056402025","doi":"10.2514/6.2004-4338","title":"H-inf Design and mu-Analysis Based Optimal Mapping of Sensors and Actuators in Flexible Structures","year":2004,"lang":"en","type":"article","venue":"10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Actuator; Computer science; Control engineering; Control theory (sociology); Engineering; Artificial intelligence; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004309359,0.0002874522,0.0007954905,0.001036607,0.0001373553,0.0001079461,0.0001119915,0.0001497337,0.0000595412],"category_scores_gemma":[0.00005915806,0.0002696763,0.0001398814,0.001754689,0.0001557452,0.0002748809,0.00005417557,0.0001369002,2.378949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004741635,"about_ca_system_score_gemma":0.00005130814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307912,"about_ca_topic_score_gemma":0.0001546989,"domain_scores_codex":[0.998345,0.0001204982,0.0006093196,0.0004549995,0.0002132071,0.00025697],"domain_scores_gemma":[0.9990665,0.0002277903,0.0001510614,0.0002735248,0.0001372399,0.0001439256],"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":[0.00005509233,0.00002580914,0.03211286,0.00007956819,0.0008268328,0.000003838273,0.001556614,0.9641249,0.0002059021,0.0001990192,4.165537e-7,0.0008091741],"study_design_scores_gemma":[0.0009063662,0.00005078756,0.0536963,0.00003705899,0.001079267,0.000001303555,0.001194741,0.9421549,0.0004654311,0.0001442697,0.000001929669,0.0002676753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3814179,0.0002670015,0.6179631,0.00006520762,0.00001539225,0.0001842151,0.00001487744,0.00004070526,0.00003161397],"genre_scores_gemma":[0.9083685,0.0001874907,0.09134267,0.000007894005,0.00001046284,0.00001947668,0.00003985494,0.00001356406,0.00001008085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5269506,"threshold_uncertainty_score":0.9999756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939738286739667,"score_gpt":0.2404928562832684,"score_spread":0.2210954734158718,"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."}}