{"id":"W2068536849","doi":"10.1080/10447310801973739","title":"Challenges of Capturing Natural Web-Based User Behaviors","year":2008,"lang":"en","type":"article","venue":"International Journal of Human-Computer Interaction","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia","funders":"","keywords":"Field (mathematics); Computer science; World Wide Web; Web intelligence; Web application; Data science; Human–computer interaction; Web modeling; 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":[0.0176945,0.0007853972,0.001026568,0.002588117,0.002073379,0.005174995,0.002321552,0.001738171,0.001530945],"category_scores_gemma":[0.07993906,0.000797061,0.0003994326,0.002568015,0.002348782,0.006421357,0.002366163,0.001721087,0.001159099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015899,"about_ca_system_score_gemma":0.002390723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008282844,"about_ca_topic_score_gemma":0.009302126,"domain_scores_codex":[0.9715955,0.01805699,0.002056963,0.002479693,0.00531926,0.0004914323],"domain_scores_gemma":[0.8784868,0.08746751,0.008444131,0.0151201,0.00963723,0.0008443157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005837426,0.001512416,0.2526485,0.008205266,0.0004277376,0.001333623,0.08623372,0.01269921,0.02806216,0.02066442,0.01625539,0.5713738],"study_design_scores_gemma":[0.0001262717,0.001265943,0.4070923,0.005117044,0.000372873,0.00557239,0.1600947,0.06211724,0.02470176,0.1540371,0.1787569,0.0007454008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5624852,0.003502122,0.3849029,0.006690782,0.0004636979,0.002583464,0.007209374,0.001822713,0.03033981],"genre_scores_gemma":[0.8094916,0.002277302,0.178163,0.001527368,0.0002365743,0.003661547,0.00227399,0.0002078412,0.002160694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0176945,"threshold_uncertainty_score":0.09357858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970217985955441,"score_gpt":0.3585566995597735,"score_spread":0.2988545197002191,"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."}}