{"id":"W2096887009","doi":"10.1109/wiiat.2008.86","title":"Enabling Social Navigation on the Web","year":2008,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"World Wide Web; Computer science; Session (web analytics); Web navigation; Web browser; Web page; The Internet","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":[0.001502769,0.0005954465,0.0005897931,0.0008942581,0.001317416,0.002453588,0.0008744564,0.001427505,0.003895191],"category_scores_gemma":[0.007167323,0.0004267254,0.0004250293,0.0006401089,0.0005433345,0.004485903,0.004955208,0.0009738712,0.002107285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429322,"about_ca_system_score_gemma":0.0005880974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483352,"about_ca_topic_score_gemma":0.002477972,"domain_scores_codex":[0.9988738,0.0004932624,0.00006524599,0.0001540134,0.0002993026,0.0001143517],"domain_scores_gemma":[0.9960204,0.001871819,0.000253352,0.001033145,0.0004210501,0.0004003125],"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":[0.0008815762,0.001280426,0.02875901,0.0007798163,0.0001514411,0.001571698,0.005773848,0.006516685,0.07375707,0.03915898,0.03674259,0.8046269],"study_design_scores_gemma":[0.0003279209,0.0009934062,0.02157854,0.0006410677,0.0003883384,0.004900136,0.003712982,0.3439835,0.06770675,0.1279317,0.4273657,0.0004699357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2595078,0.001517831,0.6268395,0.001808075,0.0003126008,0.0008292422,0.0005225735,0.05185968,0.05680276],"genre_scores_gemma":[0.7669451,0.0006161876,0.2185643,0.0004273237,0.0001926712,0.0003396597,0.0006859264,0.0007992138,0.01142977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003895191,"threshold_uncertainty_score":0.01303071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514820097383999,"score_gpt":0.2507546830585836,"score_spread":0.2056064820847436,"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."}}