{"id":"W2070528321","doi":"10.1145/1723028.1723083","title":"User interfaces for visual analysis and monitoring in business intelligence","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Human–computer interaction; Business intelligence; Intelligence analysis; Knowledge management; Computer security","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":[0.006427834,0.001317794,0.001063028,0.002260955,0.0009341407,0.006308177,0.002193882,0.00345096,0.04803787],"category_scores_gemma":[0.02102105,0.0007625336,0.0009045182,0.002642144,0.001316823,0.007965208,0.004482174,0.002296045,0.01432655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006339276,"about_ca_system_score_gemma":0.0004580041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070431,"about_ca_topic_score_gemma":0.001079606,"domain_scores_codex":[0.9955686,0.002806467,0.0002905247,0.0003157676,0.0008356335,0.0001830757],"domain_scores_gemma":[0.9887377,0.00840168,0.0002780822,0.001070123,0.001105509,0.0004069377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001030425,0.0002512402,0.001098853,0.002521991,0.0001156686,0.001006543,0.007046047,0.002464053,0.01618516,0.1440623,0.2160046,0.608213],"study_design_scores_gemma":[0.0002276326,0.0002614041,0.001823558,0.002170117,0.0001168919,0.001983162,0.00146942,0.02977417,0.006967169,0.1592105,0.7957585,0.0002374771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008716892,0.02375682,0.8560464,0.006165691,0.001431664,0.0007122605,0.001227356,0.02971737,0.07222559],"genre_scores_gemma":[0.1309091,0.01647307,0.7830339,0.005757668,0.001476016,0.002140658,0.002773001,0.005163141,0.05227334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04803787,"threshold_uncertainty_score":0.1607026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986048140232636,"score_gpt":0.3544788303515358,"score_spread":0.3246183489492094,"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."}}