{"id":"W1480461713","doi":"10.1109/cacsd.1994.288948","title":"An intelligent front end for the H/sub /spl infin controller design","year":2002,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Front and back ends; Controller (irrigation); Medal; Heuristic; Control engineering; Computer science; Intelligent design; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002255229,0.0001229729,0.0001637269,0.00003595926,0.00006619545,0.00008749834,0.0001348126,0.00005721716,0.001117779],"category_scores_gemma":[0.00001879717,0.00007804958,0.00008160658,0.00003850132,0.00001243253,0.00009930004,0.000004068889,0.00005551841,0.0003171759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003242022,"about_ca_system_score_gemma":0.000002899777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000267075,"about_ca_topic_score_gemma":0.00002086927,"domain_scores_codex":[0.9993058,0.00003770105,0.0002398385,0.0001110029,0.0001092674,0.0001963864],"domain_scores_gemma":[0.9994229,0.0002388516,0.00002178707,0.0002108616,0.00003694734,0.00006866626],"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":[0.00003328469,0.0000296215,0.00002857132,0.00001079662,0.0001337265,5.674439e-7,0.0004606364,0.8792283,0.004921489,0.002409474,0.01933064,0.09341289],"study_design_scores_gemma":[0.0007423713,0.00004510946,0.00009797805,0.000003756814,0.00001666919,0.000001106243,0.00009143701,0.9561942,0.001609098,0.00008751134,0.04100233,0.0001083891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008927457,0.0009235295,0.982956,0.0001214548,0.0002905449,0.0009630236,0.000003276561,0.0002652283,0.01358418],"genre_scores_gemma":[0.9965219,0.00005014167,0.000712948,0.0001634838,0.0001855433,0.0001580184,0.000001828129,0.00002566597,0.002180477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9956291,"threshold_uncertainty_score":0.9997953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250538676164286,"score_gpt":0.2265863218058327,"score_spread":0.1940809350441898,"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."}}