{"id":"W2099755649","doi":"10.1109/tase.2012.2189563","title":"Conjunctive and Disjunctive Architectures for Decentralized Prognosis of Failures in Discrete-Event Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Event (particle physics); Architecture; Proposition; Computer science; Dual (grammatical number); Theoretical computer science; Distributed computing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001542282,0.0004769524,0.0005065169,0.0004253374,0.0005455712,0.001097408,0.001411044,0.0006572398,0.002036009],"category_scores_gemma":[0.002298721,0.0003674245,0.0004671831,0.0003828656,0.0008413045,0.001687919,0.001143252,0.001048985,0.0003530337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008405329,"about_ca_system_score_gemma":0.0008602832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387404,"about_ca_topic_score_gemma":0.003400256,"domain_scores_codex":[0.9992166,0.0001919269,0.00008201132,0.0001911352,0.0002240457,0.00009419178],"domain_scores_gemma":[0.998645,0.0005415273,0.0001421409,0.0002532838,0.0003208988,0.00009713393],"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":[0.0005681381,0.0002195081,0.003797145,0.0002595778,0.0001551131,0.0005613109,0.0005688169,0.7118358,0.02713127,0.09370225,0.002159215,0.1590418],"study_design_scores_gemma":[0.00002632107,0.00009765958,0.0003486139,0.000009673076,0.00004248623,0.00006444226,0.00003755752,0.9727404,0.0050836,0.0201437,0.001387715,0.00001783359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04618846,0.0003422801,0.948616,0.0003193431,0.00004818679,0.0001018992,0.00005268776,0.0008878029,0.003443239],"genre_scores_gemma":[0.8520827,0.0002080788,0.1459116,0.000103033,0.00003866627,0.0001082783,0.00008533405,0.00002251258,0.001439776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002387404,"threshold_uncertainty_score":0.008156478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528786237226317,"score_gpt":0.257974688915735,"score_spread":0.2426868265434718,"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."}}