{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026903,0.001395484,0.0006017938,0.002928369,0.0005716545,0.00248059,0.001400904,0.0008451162,0.01909959],"category_scores_gemma":[0.004570431,0.0004543296,0.0005392337,0.001901922,0.0002989165,0.002829685,0.001690951,0.001413482,0.00292671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319153,"about_ca_system_score_gemma":0.0008660417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922589,"about_ca_topic_score_gemma":0.003423243,"domain_scores_codex":[0.9995524,0.0001049618,0.00003786516,0.00008003246,0.0001787983,0.00004586822],"domain_scores_gemma":[0.9972656,0.001379072,0.0002028524,0.0003402296,0.0006274346,0.0001848622],"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":[0.002228677,0.0007656652,0.01542165,0.001807042,0.0002344405,0.001239403,0.005244272,0.04436363,0.04314188,0.01834054,0.3730621,0.4941506],"study_design_scores_gemma":[0.0003950999,0.0003643033,0.02088254,0.0003972792,0.000112813,0.001035948,0.002251466,0.6118194,0.07263161,0.03541368,0.2543517,0.000344267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04269027,0.0004060768,0.6993209,0.001100441,0.0002701304,0.0005070822,0.02917642,0.2152371,0.01129154],"genre_scores_gemma":[0.315628,0.001042,0.6125396,0.0003719836,0.000149976,0.001145431,0.04175253,0.01667592,0.01069453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01909959,"threshold_uncertainty_score":0.06389451,"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."}}