{"id":"W39084266","doi":"10.1007/978-3-642-21437-0_9","title":"Sampling-Based Runtime Verification","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Runtime verification; Benchmark (surveying); Overhead (engineering); Formal verification; Sampling (signal processing); Integer programming; Distributed computing; Algorithm; Programming language; Filter (signal processing)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00170855,0.0005166409,0.0004470757,0.0009746001,0.000269327,0.0004162547,0.004572981,0.0004166844,0.00005222583],"category_scores_gemma":[0.0002001703,0.000508997,0.0001374821,0.0007354848,0.0007220872,0.0007968486,0.0006674996,0.0007696875,0.000223598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736634,"about_ca_system_score_gemma":0.0006724898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002086509,"about_ca_topic_score_gemma":0.00001055143,"domain_scores_codex":[0.9960728,0.00006053964,0.0006312373,0.001674955,0.0009443372,0.0006161418],"domain_scores_gemma":[0.9961562,0.0002785285,0.000476619,0.002568872,0.0003508859,0.0001689618],"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":[0.000008996807,0.00003911849,0.00002784499,0.00004024399,0.000006458312,0.0000103386,0.0004290462,0.01186773,0.0003211976,0.1675146,0.00001041734,0.819724],"study_design_scores_gemma":[0.0002493614,0.0002104003,0.000624504,0.0002923418,0.00001087542,0.00002586131,4.708323e-8,0.7279688,0.009650641,0.2543347,0.005699767,0.000932791],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001958634,0.0002027988,0.9894863,0.0002175207,0.002258788,0.0004289781,0.000003837543,0.0003101949,0.007071987],"genre_scores_gemma":[0.02338999,0.00001797423,0.9751744,0.0008990779,0.0002594074,0.00001842624,0.000008818321,0.0000382972,0.0001935852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8187913,"threshold_uncertainty_score":0.9997362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05135206870084809,"score_gpt":0.2886041281911128,"score_spread":0.2372520594902647,"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."}}