{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003772736,0.00009644656,0.0001532598,0.0001549906,0.0000423292,0.0001031816,0.001211287,0.00003701854,0.00008361095],"category_scores_gemma":[0.0002482103,0.00006657207,0.00003739125,0.0003612817,0.00003476106,0.002248595,0.0002813856,0.00001583844,0.00002024234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002418877,"about_ca_system_score_gemma":0.000106132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005363417,"about_ca_topic_score_gemma":0.000007669548,"domain_scores_codex":[0.9988554,0.00005763293,0.000301156,0.0004207209,0.0002178193,0.0001472689],"domain_scores_gemma":[0.9983985,0.0001331348,0.0001460421,0.001014767,0.0002451068,0.00006239242],"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":[0.00004292302,0.001018128,0.006224757,0.0001075703,0.0002054074,0.000003577649,0.000383676,0.00006157738,0.07861375,0.8098655,0.0137484,0.08972478],"study_design_scores_gemma":[0.0005639751,0.0001571471,0.0004025002,0.0000300238,0.00002079596,0.000001690919,0.0000339343,0.9833841,0.007550438,0.0009043857,0.006797845,0.0001531407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003988007,0.00000500969,0.9951863,0.0001738333,0.0001065005,0.0001410301,0.00009134365,0.00009408449,0.0002138799],"genre_scores_gemma":[0.988269,0.0000146906,0.01078072,0.0003171093,0.00004896957,0.000004152113,0.0002462247,0.00001049315,0.0003086862],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9844056,"threshold_uncertainty_score":0.271473,"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."}}