{"id":"W2479160545","doi":"10.4018/978-1-59904-974-8.ch005","title":"Privacy Concerns for Web Logging Data","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Internet privacy; Data collection; Logging; Information privacy; Web application; Safeguarding; Computer security; World Wide Web; Data science; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006502141,0.0003429638,0.0004146193,0.00005779354,0.0006724961,0.000271066,0.002500695,0.0005983824,0.00007331657],"category_scores_gemma":[0.0004500241,0.0003748443,0.0001537923,0.00002053564,0.0002964416,0.0002777729,0.0009585313,0.0003091561,0.0001246015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004379814,"about_ca_system_score_gemma":0.0009173941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601712,"about_ca_topic_score_gemma":0.003266052,"domain_scores_codex":[0.9976841,0.00004930135,0.0003679772,0.0008074672,0.0005464023,0.000544801],"domain_scores_gemma":[0.9977268,0.00008014841,0.0002996624,0.001540074,0.0001283555,0.0002249682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003288732,0.000008387377,0.000005400726,0.00002824463,0.00003947925,0.000008955778,0.0002274534,9.028145e-8,0.000005568461,0.9048327,0.04812372,0.04668712],"study_design_scores_gemma":[0.0002241356,0.00003846422,0.000004547288,0.00007141009,0.00005325823,0.000002237961,0.00003484797,0.0000169873,0.000002794424,0.4301528,0.5691507,0.0002478127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001916532,0.0007863248,0.0008892438,0.0008604109,0.001050648,0.00128905,0.003212383,0.0003355005,0.9915573],"genre_scores_gemma":[0.3779009,0.001100569,0.01312066,0.008082121,0.03327566,0.0002321208,0.002439729,0.0003741104,0.5634741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.521027,"threshold_uncertainty_score":0.9998704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08876248467873397,"score_gpt":0.3480435113044721,"score_spread":0.2592810266257381,"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."}}