{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026473,0.00007220727,0.00009591986,0.00009125657,0.00005488268,0.0001209131,0.002926183,0.00003179917,0.00001955265],"category_scores_gemma":[0.0002618062,0.00007069374,0.000009487382,0.0005346504,0.00004247269,0.001829542,0.002123592,0.00005508573,0.00001633667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008386392,"about_ca_system_score_gemma":0.00007460635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003343528,"about_ca_topic_score_gemma":0.000002288965,"domain_scores_codex":[0.9988053,0.000002223494,0.0002637986,0.0003929623,0.000372038,0.0001636588],"domain_scores_gemma":[0.9990695,0.00004308054,0.0001432877,0.0005036357,0.0001708545,0.0000697014],"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":[0.00002767429,0.0006422512,0.06960838,0.0003525056,0.0001297712,0.00001469671,0.002541902,0.000004706132,0.01943035,0.4246186,0.2919168,0.1907123],"study_design_scores_gemma":[0.0002592209,0.00003170345,0.001783245,0.0000563925,0.00001200507,0.00001330419,0.0002289948,0.9323709,0.001981548,0.0002814649,0.06282016,0.0001610427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06356885,0.0001545477,0.9212199,0.001148459,0.0003871949,0.0001601919,0.0002253658,0.0002884618,0.01284707],"genre_scores_gemma":[0.8986036,0.0000168325,0.09985436,0.0003966002,0.0001662528,4.201248e-7,0.0007472316,0.000009083255,0.000205646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9323662,"threshold_uncertainty_score":0.5437624,"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."}}