{"id":"W1531734593","doi":"10.1109/sice.1998.742914","title":"Continuous-time lifting analysis of digitally-redesigned control systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariable calculus; Sampled data systems; Control theory (sociology); Digital control; LTI system theory; Computer science; Control system; Sampling (signal processing); Control (management); Control engineering; Linear system; Mathematics; Engineering; Artificial intelligence; Electronic engineering; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001880397,0.0001113786,0.0004712202,0.0002443705,0.00002599594,0.00009831515,0.0001047887,0.00005769668,0.0003267744],"category_scores_gemma":[0.00003746604,0.0001028111,0.0001615913,0.0004267951,0.00001115434,0.000147171,0.000005330254,0.00003529468,0.0001472936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146869,"about_ca_system_score_gemma":0.000001756445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001264265,"about_ca_topic_score_gemma":0.0000134996,"domain_scores_codex":[0.9990188,0.00002795147,0.0004957873,0.0001316507,0.0001604423,0.0001653133],"domain_scores_gemma":[0.9994119,0.00009651919,0.00008865346,0.0002578816,0.00009358301,0.00005147226],"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":[0.00001538768,0.0001342127,0.009149989,0.0002435166,0.008763502,0.00000667275,0.0006511466,0.5863419,0.3700859,0.001644761,0.01271184,0.01025113],"study_design_scores_gemma":[0.000383099,0.00001290006,0.002008856,0.00001634622,0.0004061488,7.887608e-7,0.00005590898,0.995393,0.0002408298,0.000001572795,0.001359492,0.0001210493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5333515,0.005248798,0.2680228,0.00009852882,0.0008808313,0.001423155,0.0001343218,0.001541738,0.1892982],"genre_scores_gemma":[0.9947978,0.000007820167,0.00002212847,0.000005216933,0.00005314593,0.00002172386,0.00000954647,0.00001694631,0.005065689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4614462,"threshold_uncertainty_score":0.4192516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006629682737341675,"score_gpt":0.163864209450173,"score_spread":0.1572345267128313,"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."}}