{"id":"W2167338201","doi":"10.1109/pst.2008.17","title":"LogView: Visualizing Event Log Clusters","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Mitacs; Dalhousie University","keywords":"Computer science; Automatic summarization; Cluster analysis; Event (particle physics); Visualization; Web log analysis software; Data mining; Hierarchical clustering; Data visualization; Information retrieval; Artificial intelligence; The Internet; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001366435,0.00007443922,0.00008969622,0.00007025211,0.0001140992,0.00005536191,0.0004925146,0.00002441051,0.00008505596],"category_scores_gemma":[0.0000277782,0.00006293302,0.00004409627,0.0003033082,0.00003002935,0.0003561668,0.0002154015,0.00003967186,0.0003759647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002098955,"about_ca_system_score_gemma":0.00003909436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001258887,"about_ca_topic_score_gemma":0.00000428179,"domain_scores_codex":[0.9992281,0.00003633023,0.0001699692,0.0002049434,0.0001980034,0.0001626618],"domain_scores_gemma":[0.999476,0.00002587528,0.00004206072,0.0003320051,0.00004183168,0.0000822174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002067872,0.0002390145,0.002507476,0.00002448272,0.00003296432,0.00009948258,0.001324996,0.0005871818,0.0001943542,0.7280058,0.2491672,0.01781498],"study_design_scores_gemma":[0.0003917418,0.0000631133,0.001049186,0.00001790345,0.000004857433,0.00009579938,0.00005815425,0.6929787,0.001168159,0.0009696214,0.3028803,0.0003224539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006998105,0.00005633378,0.9891263,0.000759922,0.0001730624,0.00004125769,7.430762e-7,0.0001819663,0.008960641],"genre_scores_gemma":[0.920648,0.0004032062,0.05070182,0.0137293,0.0001063717,0.00000461518,0.0000235857,0.00001520607,0.01436783],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9384245,"threshold_uncertainty_score":0.4832391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209104348254463,"score_gpt":0.3234309417369488,"score_spread":0.2813398982544042,"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."}}