{"id":"W113712403","doi":"10.1007/978-3-319-11164-3_2","title":"Multiple Ways to Fail: Generalizing a Monitor’s Verdict for the Classification of Execution Traces","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"TRACE (psycholinguistics); Equivalence (formal languages); Computer science; Event (particle physics); Completeness (order theory); Logical equivalence; Theoretical computer science; Mathematics; Discrete mathematics; Linguistics","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":[0.002068183,0.0003381311,0.0003759169,0.0005033085,0.0003399253,0.0002740711,0.003175123,0.000241312,0.000001783354],"category_scores_gemma":[0.0004053865,0.0002627771,0.0001408318,0.0005131443,0.0003993884,0.0004045334,0.0004715574,0.0003316921,0.000008740793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420729,"about_ca_system_score_gemma":0.0001702625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002914975,"about_ca_topic_score_gemma":0.00003263198,"domain_scores_codex":[0.9971651,0.0000489631,0.0005980297,0.001003347,0.0007657626,0.0004187335],"domain_scores_gemma":[0.9963619,0.001151501,0.0004763749,0.001512116,0.0003996947,0.00009839662],"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":[0.00001465712,0.000009100514,0.00002165437,0.00004798181,0.000008761433,4.598961e-7,0.001302,0.04717716,0.005849326,0.123075,0.00003225596,0.8224616],"study_design_scores_gemma":[0.0001737786,0.0001854657,0.0006126846,0.0001619424,0.0000116776,0.000006906046,8.970045e-7,0.9549237,0.01601581,0.02413837,0.003457165,0.0003115271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002279925,0.0002117346,0.995638,0.0005108398,0.002118801,0.0009850466,0.000007656715,0.00009465415,0.0002052349],"genre_scores_gemma":[0.238777,0.00001916312,0.7604306,0.000274697,0.0003736666,0.00006574367,0.000003797554,0.00002050531,0.00003480469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9077466,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06020310055884991,"score_gpt":0.2988143434886405,"score_spread":0.2386112429297906,"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."}}