{"id":"W2149089202","doi":"10.1145/1017074.1017079","title":"Visualizing and discovering web navigational patterns","year":2004,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Web modeling; Web mapping; Web navigation; World Wide Web; Visualization; Data Web; Information retrieval; Web page; Web intelligence; Web mining; Human–computer interaction; 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":[0.0007421853,0.0005819211,0.0003381078,0.004979148,0.0004779825,0.00251245,0.000479355,0.0005444685,0.001348779],"category_scores_gemma":[0.003088579,0.0003282846,0.0003883004,0.002790851,0.0004491831,0.002469126,0.00101071,0.0005845752,0.0004225703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058477,"about_ca_system_score_gemma":0.0004960858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736661,"about_ca_topic_score_gemma":0.004094785,"domain_scores_codex":[0.9996025,0.0001224846,0.00004301615,0.00005878724,0.0001469278,0.00002635157],"domain_scores_gemma":[0.9985908,0.0006500894,0.0002066026,0.0001967678,0.0002682519,0.00008754197],"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":[0.0003645859,0.0002531827,0.04184709,0.001091265,0.0002375908,0.00108029,0.007676672,0.03775148,0.1024996,0.08320446,0.01890831,0.7050856],"study_design_scores_gemma":[0.00005927616,0.0001368607,0.03005123,0.0002485774,0.0002043968,0.001384629,0.004400198,0.6293792,0.07542436,0.1946952,0.06386848,0.0001477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1622325,0.0005925249,0.8188171,0.0008676506,0.00004130701,0.0001483157,0.001414922,0.01044756,0.005438066],"genre_scores_gemma":[0.3062325,0.0008075787,0.6892226,0.00006350929,0.00002583879,0.00009265193,0.001517058,0.0005265484,0.00151175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004979148,"threshold_uncertainty_score":0.005441546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698991754727153,"score_gpt":0.2959849408491304,"score_spread":0.2789950233018589,"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."}}