{"id":"W7125651506","doi":"10.1109/cascon66301.2025.00032","title":"SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation","year":2025,"lang":"","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Generative grammar; Generative model; Feature (linguistics); Field (mathematics); Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270347,0.001365953,0.0007073787,0.001273683,0.0005820761,0.001731329,0.003475845,0.001643043,0.0205499],"category_scores_gemma":[0.01468381,0.0008214332,0.0009556955,0.0007146798,0.001001695,0.001421555,0.001855263,0.002280482,0.00388016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023715,"about_ca_system_score_gemma":0.001222922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004153906,"about_ca_topic_score_gemma":0.006592179,"domain_scores_codex":[0.9986493,0.0005748008,0.00007673897,0.0002149207,0.0004052088,0.00007892156],"domain_scores_gemma":[0.9921302,0.005880203,0.0001420797,0.0008869469,0.0008014074,0.0001591706],"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":[0.0008600216,0.0006879547,0.004733982,0.001215916,0.0002818766,0.0006860323,0.0009701331,0.3997785,0.02184789,0.03990136,0.07494084,0.4540954],"study_design_scores_gemma":[0.00007649152,0.00005598641,0.0001632473,0.00002461689,0.00001849928,0.00007677991,0.00003713921,0.9754656,0.006626383,0.01078399,0.006654435,0.00001675879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0196854,0.0002284255,0.8685219,0.0003193506,0.0002602725,0.0003624845,0.001416295,0.09798173,0.01122417],"genre_scores_gemma":[0.3344588,0.0001877912,0.643887,0.0004370675,0.00008196856,0.0007194523,0.003643216,0.009652724,0.006931923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0205499,"threshold_uncertainty_score":0.06874627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343974636271998,"score_gpt":0.3264284678149116,"score_spread":0.2920310041877118,"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."}}