{"id":"W1814674003","doi":"10.6017/ital.v34i3.5495","title":"Hidden Online Surveillance: What Librarians Should Know to Protect Their Own Privacy and That of Their Patrons","year":2015,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Internet privacy; Tracking (education); Computer science; World Wide Web; Personally identifiable information; Tracking system; Business; Computer security; Psychology","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":[0.0004348546,0.0001391788,0.0002188281,0.000420134,0.0003488903,0.0003929184,0.0004420875,0.0003500236,0.00001816338],"category_scores_gemma":[0.0007404724,0.0001098847,0.00002301481,0.0005832451,0.0006313957,0.008207056,0.0005628328,0.0002351027,0.000006046296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719595,"about_ca_system_score_gemma":0.0002111471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673322,"about_ca_topic_score_gemma":0.0001875905,"domain_scores_codex":[0.9991138,0.00009032849,0.0002628198,0.0001400136,0.0001607523,0.0002322646],"domain_scores_gemma":[0.9992334,0.00008556709,0.0001711364,0.0003111385,0.00008473542,0.0001139853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001871304,0.00007150573,0.02880887,0.0001019191,0.00005206132,7.002583e-7,0.09302258,0.000001409705,0.00004929459,0.1948124,0.00430999,0.6785821],"study_design_scores_gemma":[0.0006469004,0.0003169066,0.007078842,0.00009357159,0.000007165153,0.000009362157,0.1106467,0.00008366496,0.005644545,0.2123447,0.6628311,0.0002965855],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9022483,0.004650948,0.00503825,0.0821809,0.0004790253,0.001699301,0.000324881,0.0009634241,0.00241495],"genre_scores_gemma":[0.9956156,0.00161653,0.002107064,0.000401087,0.00007011616,0.00005715347,0.00008037794,0.000007060078,0.00004500199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6782855,"threshold_uncertainty_score":0.5949917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082806117945368,"score_gpt":0.2720328007952207,"score_spread":0.231204739615767,"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."}}