{"id":"W4293243668","doi":"10.1109/tcad.2022.3197693","title":"Online Reset for Signal Temporal Logic Monitoring","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Japan Science and Technology Agency; Japan Society for the Promotion of Science","keywords":"Reset (finance); Computer science; SIGNAL (programming language); Semantics (computer science); Real-time computing; Overhead (engineering); Temporal logic; Point (geometry); Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001387001,0.0002554366,0.0004237024,0.0004154432,0.0004921273,0.0001514095,0.0007732337,0.00009799533,0.000007807306],"category_scores_gemma":[0.000009815124,0.0002369219,0.0001192323,0.0006938268,0.0000610312,0.0003192355,0.000008519119,0.0004059383,0.000001596506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184446,"about_ca_system_score_gemma":0.0001622236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001497528,"about_ca_topic_score_gemma":0.000001045714,"domain_scores_codex":[0.9972516,0.0007152174,0.0007112983,0.0005524933,0.0004520473,0.0003173512],"domain_scores_gemma":[0.9982893,0.0004712496,0.00031141,0.000510617,0.0003052461,0.000112206],"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":[0.0001536321,0.001049756,0.00003542639,0.0002167894,0.0002119441,0.00001882069,0.001075461,0.7257658,0.02472381,0.01436507,0.0004706347,0.2319128],"study_design_scores_gemma":[0.0006823965,0.002033752,0.00003402594,0.0001140256,0.00002118315,0.0001062059,0.000276455,0.9826047,0.01278928,0.0006450145,0.0004160964,0.0002768347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00398719,0.0001723451,0.9916033,0.00004134057,0.00286605,0.0009493541,0.0001716466,0.0001926423,0.00001618804],"genre_scores_gemma":[0.7632829,0.00001535322,0.2362134,0.00003437464,0.00008665695,0.0002579609,0.00001057821,0.00002045457,0.00007836198],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7592957,"threshold_uncertainty_score":0.9661393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126378840201654,"score_gpt":0.3076490919754427,"score_spread":0.1950112079552772,"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."}}