{"id":"W4401508387","doi":"10.1109/meditcom61057.2024.10621416","title":"A Data-Driven Approach for Adaptive Real-Time Log Parsing in Cloud Environments","year":2024,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Parsing; Cloud computing; Real-time computing; Artificial intelligence; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003561427,0.0001107688,0.000172208,0.00008902168,0.00006437263,0.0001881888,0.0007246832,0.0000409477,0.00003181613],"category_scores_gemma":[0.00001024281,0.00009166347,0.00005777147,0.0002933139,0.00002922608,0.0005955729,0.000529304,0.00007576003,0.00004808627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005273468,"about_ca_system_score_gemma":0.00002564774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007767646,"about_ca_topic_score_gemma":0.0000112105,"domain_scores_codex":[0.9987521,0.00003066316,0.0002183075,0.0005940045,0.0001433867,0.0002615184],"domain_scores_gemma":[0.9992652,0.0000830737,0.00003499448,0.0005623592,0.000005389969,0.00004898452],"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":[0.00009740004,0.0006771998,0.0005085074,0.0002026625,0.0007154419,0.0001406756,0.005594963,0.09731866,0.006689519,0.2891781,0.02969059,0.5691862],"study_design_scores_gemma":[0.00008952719,0.00004519802,0.00006880475,0.00001891885,0.00001376946,0.00000421529,0.00007498841,0.9935573,0.0000429145,0.0005429076,0.005423313,0.0001181068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001121761,0.0001025455,0.9879765,0.0001294048,0.00007440883,0.000173927,0.00002598988,0.00008503024,0.01031043],"genre_scores_gemma":[0.3139216,0.00003447789,0.6818516,0.000059407,0.0001671134,0.00002568592,0.0001358823,0.00001998515,0.003784321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8962387,"threshold_uncertainty_score":0.3737928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05315303706038909,"score_gpt":0.2599129742138853,"score_spread":0.2067599371534962,"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."}}