{"id":"W2575557354","doi":"10.1109/wi.2016.0127","title":"An Interactive Circular Visual Analytic Tool for Visualization of Web Data","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Visual analytics; Session (web analytics); Visualization; Analytics; Web analytics; Data visualization; Web page; Interactive visual analysis; Cultural analytics; Information retrieval; World Wide Web; Semantic analytics; Web modeling; Data mining; Web intelligence","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":[0.001675287,0.001373957,0.0007326158,0.003334309,0.0006925476,0.002775431,0.001468574,0.00116123,0.01515785],"category_scores_gemma":[0.01141106,0.0005356404,0.0008808924,0.001940567,0.0007122648,0.002584341,0.003059198,0.001398075,0.001836917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004598013,"about_ca_system_score_gemma":0.001067147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892417,"about_ca_topic_score_gemma":0.001886712,"domain_scores_codex":[0.9992047,0.0002751902,0.00006383222,0.0001247481,0.000250016,0.00008152206],"domain_scores_gemma":[0.9931269,0.004910364,0.0003160602,0.0005443046,0.000720822,0.0003814679],"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":[0.002639177,0.0004280744,0.004631418,0.002456743,0.0002556994,0.001928071,0.007136492,0.02166802,0.1084938,0.04499093,0.1204515,0.6849201],"study_design_scores_gemma":[0.0006381152,0.0007141202,0.005508212,0.0009545265,0.0002081984,0.002736287,0.002086117,0.5783148,0.07561987,0.07499521,0.2576642,0.0005603848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01066801,0.0003233098,0.9561114,0.0004495178,0.0001016629,0.0002353026,0.001770318,0.02760958,0.002730906],"genre_scores_gemma":[0.1295012,0.0005791078,0.8603511,0.0004108589,0.0001011485,0.0008714673,0.00266713,0.003040045,0.002477963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01515785,"threshold_uncertainty_score":0.05070806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208343595782448,"score_gpt":0.377843855377213,"score_spread":0.3357604194193885,"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."}}