{"id":"W2151652373","doi":"10.1109/cdc.2009.5400802","title":"Hardware realization of discrete event system diagnosers","year":2009,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Realization (probability); Glitch; Simple (philosophy); Property (philosophy); Computer science; Event (particle physics); State (computer science); Finite-state machine; Electronic circuit; Discrete event simulation; Algorithm; Computer engineering; Theoretical computer science; Control engineering; Engineering; Mathematics; Simulation; Electrical engineering; Telecommunications","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":[0.0002899159,0.00008480369,0.0001554833,0.00009085033,0.0000423516,0.0000443528,0.0005681446,0.00004000102,0.000002818894],"category_scores_gemma":[0.00003091773,0.00007068705,0.00005352424,0.0003613432,0.000007724097,0.0003131121,0.00006821228,0.00003333901,0.00001221647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007780964,"about_ca_system_score_gemma":0.00003059751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003805086,"about_ca_topic_score_gemma":0.000003608376,"domain_scores_codex":[0.9989116,0.00005940762,0.000324395,0.0002360839,0.0003160909,0.0001523828],"domain_scores_gemma":[0.9991468,0.0000385715,0.0001268433,0.0005391323,0.00009430541,0.00005439382],"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":[0.000004099668,0.00003578363,0.0008063121,0.000107115,0.00001387339,0.00001459253,0.0008452008,0.0244595,0.0007170181,0.9498336,0.002082717,0.02108019],"study_design_scores_gemma":[0.0003685074,0.0001489588,0.002623185,0.0004799869,0.000008833445,0.00002871781,0.0002391694,0.9875431,0.005829716,0.001552602,0.0009099226,0.000267275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003548491,0.0001029881,0.984016,0.0001846065,0.0002549944,0.0001318147,0.000001577792,0.0002312504,0.01152828],"genre_scores_gemma":[0.9855523,0.000008115707,0.01411936,0.00006934623,0.0000336184,0.0000044645,0.00000229925,0.000003707789,0.0002067691],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9820038,"threshold_uncertainty_score":0.2882534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471223609037526,"score_gpt":0.2594815632173409,"score_spread":0.2447693271269657,"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."}}