{"id":"W2795822186","doi":"10.1007/978-3-319-89363-1_7","title":"Distributed Graph Queries for Runtime Monitoring of Cyber-Physical Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Emberi Eroforrások Minisztériuma","keywords":"Computer science; Cyber-physical system; Distributed computing; Runtime verification; Abstraction; Graph; Computation; Domain (mathematical analysis); Formal verification; Theoretical computer science; Programming language; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0025625,0.0009925866,0.0005343622,0.0008419285,0.0004886653,0.002848299,0.001606347,0.001144705,0.002876406],"category_scores_gemma":[0.006792453,0.0003025731,0.0009445853,0.0008296449,0.001796851,0.003833441,0.001841972,0.001542284,0.0004766024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901097,"about_ca_system_score_gemma":0.00108739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003024495,"about_ca_topic_score_gemma":0.003216091,"domain_scores_codex":[0.9966437,0.001433738,0.0001956857,0.0004613675,0.001093591,0.0001718875],"domain_scores_gemma":[0.9965783,0.002249207,0.0002232588,0.0005116147,0.0003436432,0.00009402222],"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":[0.0006468722,0.000196884,0.00213875,0.0005738085,0.00006844335,0.000799538,0.001703076,0.2138662,0.02901901,0.5674517,0.007542075,0.1759937],"study_design_scores_gemma":[0.00007099626,0.0001078087,0.0003808234,0.00006597277,0.00003853078,0.0002650156,0.0002504103,0.7280422,0.01442604,0.2414574,0.01485815,0.0000366578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02455161,0.0003042092,0.9675031,0.0003160226,0.00004796837,0.0001488783,0.0002178223,0.002531,0.00437934],"genre_scores_gemma":[0.4683979,0.0003979597,0.5255306,0.0002266775,0.00005728234,0.0002549865,0.0006763943,0.0008802377,0.003577942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003024495,"threshold_uncertainty_score":0.01379347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566507859764054,"score_gpt":0.2488220198358959,"score_spread":0.2331569412382554,"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."}}