{"id":"W2135006865","doi":"10.1109/icsmc.2007.4414069","title":"A recursive algorithm for diagnosis in hierarchical finite-state machines","year":2007,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Unobservable; Computation; Algorithm; Computer science; Finite-state machine; Observer (physics); State (computer science); Theoretical computer science; Mathematical optimization; Mathematics","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":[0.001203673,0.0006515554,0.0006489448,0.0007105132,0.0006741725,0.0007879877,0.00123167,0.0009419691,0.00336623],"category_scores_gemma":[0.004811047,0.0004070889,0.0007778021,0.0004757133,0.001044439,0.001576875,0.001447217,0.001580908,0.0007272051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009916967,"about_ca_system_score_gemma":0.001544623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003432584,"about_ca_topic_score_gemma":0.005247456,"domain_scores_codex":[0.9990441,0.0002567883,0.00007551384,0.0002437721,0.0002669157,0.0001128484],"domain_scores_gemma":[0.9982328,0.001125174,0.000108686,0.0002567271,0.0002426264,0.0000339093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00016429,0.00008739942,0.0007683914,0.0002385775,0.00005860841,0.0002189569,0.0003766188,0.2670015,0.01493502,0.2615827,0.003345916,0.4512219],"study_design_scores_gemma":[0.00005009659,0.00005704554,0.0001145045,0.0000241585,0.00002234006,0.00008920119,0.00002296316,0.9166793,0.006872619,0.07122761,0.004815184,0.0000250446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00109627,0.00003350918,0.9981248,0.00002847939,0.000006759186,0.0000275937,0.00001020965,0.0003746488,0.0002976745],"genre_scores_gemma":[0.09016807,0.00007009162,0.9085804,0.00005300035,0.00001561699,0.0001467334,0.00009246043,0.00006820642,0.0008053778],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003432584,"threshold_uncertainty_score":0.01126117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008029931093474062,"score_gpt":0.2402508078651135,"score_spread":0.2322208767716394,"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."}}