{"id":"W2145029924","doi":"10.1109/iv.2007.123","title":"Visual Data Mining of Web Navigational Data","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Web mining; Web modeling; World Wide Web; Web mapping; Data Web; Web navigation; Context (archaeology); Visualization; Web intelligence; Web page; Information retrieval; Data visualization; Data science; Data mining","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":[0.001415737,0.0005789936,0.0005805118,0.007099016,0.0003792795,0.001769083,0.0006027251,0.0004376553,0.001917941],"category_scores_gemma":[0.007265944,0.0002770419,0.0004902219,0.003607399,0.0003113134,0.001106345,0.001266626,0.0005771778,0.0006022419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003981571,"about_ca_system_score_gemma":0.0006675632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166684,"about_ca_topic_score_gemma":0.003391602,"domain_scores_codex":[0.9992728,0.0001890063,0.00006184303,0.00009808107,0.0003207418,0.0000575573],"domain_scores_gemma":[0.9965374,0.001762178,0.0003516082,0.0004476848,0.0006978331,0.0002032164],"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":[0.00109086,0.0004643487,0.0441855,0.001716891,0.0002969905,0.0009456971,0.003966344,0.02573082,0.07351071,0.01334814,0.03029062,0.8044531],"study_design_scores_gemma":[0.0001265742,0.0003769018,0.05783387,0.0005682522,0.0001928502,0.001936488,0.002259113,0.6768707,0.1225645,0.06152696,0.07551063,0.0002331506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2735221,0.001748048,0.6572075,0.001589393,0.0001599807,0.0006001229,0.0179901,0.03687408,0.01030873],"genre_scores_gemma":[0.5668522,0.001275235,0.4167559,0.0001816911,0.00008090192,0.0003917913,0.01109442,0.0009019036,0.002466091],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007099016,"threshold_uncertainty_score":0.007487178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08576136147741431,"score_gpt":0.3777078133742804,"score_spread":0.2919464518968661,"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."}}