{"id":"W2126736762","doi":"10.1109/cdc.2013.6759861","title":"Design of reach controllers on simplices","year":2013,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affine transformation; Triangulation; Computer science; Control theory (sociology); State space; Piecewise; State (computer science); Control (management); Space (punctuation); Mathematics; Mathematical optimization; Algorithm; Artificial intelligence; Pure mathematics; Geometry","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":[0.0003424959,0.00004746076,0.00007952895,0.00004668255,0.00002190602,0.00003236453,0.0004492438,0.00002616951,0.00005016819],"category_scores_gemma":[0.00006862311,0.00003514046,0.0000173024,0.0001223047,0.00002219025,0.0003231867,0.00003381449,0.0000347883,0.0001583668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001079737,"about_ca_system_score_gemma":0.00001255424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004441355,"about_ca_topic_score_gemma":1.291351e-7,"domain_scores_codex":[0.9994317,0.00009196823,0.0001317152,0.0001255125,0.0001242537,0.00009488784],"domain_scores_gemma":[0.9993038,0.0001627663,0.00006699558,0.0003762867,0.00006146407,0.00002864212],"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":[0.00001489923,0.00007784803,0.0000761353,0.000008922609,0.00001541154,2.60917e-7,0.0004039682,0.003182546,0.04445669,0.747026,0.004134888,0.2006025],"study_design_scores_gemma":[0.0003355522,0.0002982233,0.003581367,0.000007048446,0.000001857515,0.00000144879,0.00003584428,0.8881262,0.09407148,0.01292817,0.0004998514,0.0001129761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002682491,0.000006389131,0.9769818,0.0002522827,0.00008537542,0.0002108334,6.67605e-8,0.00006484865,0.01971588],"genre_scores_gemma":[0.3439994,0.00000180637,0.6555318,0.0002018357,0.000006127907,0.00001839066,7.599306e-8,0.00000172437,0.0002388832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8849437,"threshold_uncertainty_score":0.2035538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840805717791485,"score_gpt":0.2864131489398083,"score_spread":0.2380050917618935,"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."}}