{"id":"W179516283","doi":"10.1007/bfb0008447","title":"Computer aided design of optimal regulators and filters with constraints","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Fixed Point Theorems Analysis","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Computer-aided; Computer science; Space (punctuation); Mathematical optimization; Optimal design; Mathematics; Control theory (sociology); Control (management); Artificial intelligence; Programming language","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":[0.0007118439,0.0002191735,0.0004635922,0.0003834513,0.00007833558,0.00009280534,0.0001317248,0.0001687467,0.0000715826],"category_scores_gemma":[0.0001364057,0.0001464381,0.00004326626,0.00008422009,0.001134916,0.0006553865,0.00002920569,0.0001662346,0.000001728825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001923378,"about_ca_system_score_gemma":0.0000711487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007121746,"about_ca_topic_score_gemma":0.00001322841,"domain_scores_codex":[0.9988228,0.00002723194,0.000503025,0.0001619454,0.0003318716,0.0001531308],"domain_scores_gemma":[0.9983267,0.0009396098,0.0004655682,0.0001315586,0.00008958946,0.00004695235],"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":[0.0003240487,0.00002004645,0.0002756736,0.0003145956,0.0003530173,0.000004159234,0.005589069,0.06609424,0.0000569802,0.5885513,0.0002246359,0.3381922],"study_design_scores_gemma":[0.005960936,0.001600856,0.0004407494,0.001704796,0.0005403933,0.0002039394,0.0001513188,0.6077778,0.0005778982,0.376527,0.002989094,0.001525213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001584374,0.0001686272,0.985869,0.0004205777,0.0000401076,0.000438923,0.0000300919,0.00002386786,0.01142443],"genre_scores_gemma":[0.8535794,0.00008700416,0.1453088,0.0007689385,0.00007204008,0.000007047164,0.000007977396,0.00001315268,0.000155646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8519951,"threshold_uncertainty_score":0.5971573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665751304986449,"score_gpt":0.2377792549574914,"score_spread":0.2211217419076269,"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."}}