{"id":"W4406385999","doi":"10.1145/3712196","title":"System Safety Monitoring of Learned Components Using Temporal Metric Forecasting","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Science Foundation Ireland","keywords":"Computer science; Metric (unit); Real-time computing; Systems engineering; Engineering; Operations management","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":[0.001055057,0.001204398,0.0004944927,0.0006849167,0.0001970726,0.0004955917,0.0008976369,0.0003578437,0.000578678],"category_scores_gemma":[0.004711137,0.0002390458,0.0004178537,0.0004973728,0.00028683,0.001219204,0.000481512,0.0008967902,0.0001817789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022876,"about_ca_system_score_gemma":0.0009434746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088769,"about_ca_topic_score_gemma":0.01097961,"domain_scores_codex":[0.9995782,0.00007045463,0.00003199859,0.0001330152,0.0001356927,0.00005060632],"domain_scores_gemma":[0.9982042,0.000797108,0.0002851907,0.0002042766,0.000428354,0.00008078924],"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":[0.0001369941,0.00005435796,0.006909126,0.00004374254,0.00003525178,0.00004572312,0.00005082917,0.9177794,0.003405362,0.0008029285,0.0005049736,0.07023124],"study_design_scores_gemma":[0.000001470002,0.00001745259,0.0004945693,0.000001892376,0.000004570064,0.000005944602,0.000003811747,0.9979212,0.0009514712,0.0005218819,0.00007301865,0.00000280178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.424304,0.0005452159,0.5691102,0.0003635819,0.00006995061,0.00007023297,0.0004419535,0.003185944,0.001908998],"genre_scores_gemma":[0.9831671,0.00006253336,0.01622198,0.00002441976,0.000007741426,0.00001753489,0.0001969501,0.00002841136,0.0002733338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01088769,"threshold_uncertainty_score":0.02164865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069848954034456,"score_gpt":0.3098304973908639,"score_spread":0.2028456019874182,"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."}}