{"id":"W2123218626","doi":"10.1109/ares.2011.51","title":"System State Discovery Via Information Content Clustering of System Logs","year":2011,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Computer science; Cluster analysis; Data mining; Computation; Entropy (arrow of time); Cohesion (chemistry); Cluster (spacecraft); State (computer science); Artificial intelligence; Algorithm","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":[0.001850219,0.000950092,0.001244755,0.009968782,0.001203338,0.001963522,0.001202943,0.0009309429,0.0005643325],"category_scores_gemma":[0.01479755,0.000504603,0.0006832636,0.005306368,0.0005920398,0.001669066,0.001145275,0.0007633941,0.0004892349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429371,"about_ca_system_score_gemma":0.001487786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00714149,"about_ca_topic_score_gemma":0.006878176,"domain_scores_codex":[0.9978629,0.000447995,0.0001920842,0.0004758723,0.0008277863,0.0001933218],"domain_scores_gemma":[0.9896568,0.004475604,0.001505835,0.001338151,0.002790563,0.0002330544],"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":[0.001136446,0.0008211358,0.08117032,0.0005401068,0.0003296007,0.0005353362,0.00321656,0.2138277,0.02902955,0.009638621,0.008558528,0.6511961],"study_design_scores_gemma":[0.00002800427,0.00007324692,0.01858865,0.00003320706,0.00006675928,0.000152305,0.0004459843,0.955907,0.01319012,0.009078101,0.002380187,0.00005638296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2957507,0.0003076981,0.6949189,0.0003274039,0.00003800918,0.0005783931,0.001425392,0.004152663,0.002500789],"genre_scores_gemma":[0.712026,0.000170092,0.2816266,0.00005538936,0.00005420853,0.0004229686,0.004192784,0.0002536303,0.001198361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009968782,"threshold_uncertainty_score":0.01419985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569843064482279,"score_gpt":0.1952966673480481,"score_spread":0.1695982367032253,"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."}}