{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02671019,0.0006078795,0.001090087,0.002669183,0.007502367,0.01877874,0.00212489,0.009908644,0.005573442],"category_scores_gemma":[0.05481277,0.0007123876,0.001014603,0.002417884,0.02110354,0.05937517,0.007120919,0.01008799,0.003003959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003497682,"about_ca_system_score_gemma":0.01162386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006015165,"about_ca_topic_score_gemma":0.004357621,"domain_scores_codex":[0.978107,0.01301053,0.001321485,0.001282297,0.005046492,0.001232087],"domain_scores_gemma":[0.9141536,0.04933391,0.006955574,0.01344636,0.01081807,0.005292379],"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":[0.0001365816,0.0003573686,0.02489482,0.003392746,0.0001250074,0.0006038265,0.06870567,0.0004589755,0.001941462,0.167304,0.0910717,0.641008],"study_design_scores_gemma":[0.00003046921,0.0002365602,0.0114656,0.008828735,0.0001306602,0.002082712,0.06574168,0.0009079445,0.003434711,0.2143377,0.6926318,0.0001714486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02866025,0.06098422,0.03670441,0.8181848,0.001958492,0.0001013682,0.0002012409,0.0004927394,0.0527125],"genre_scores_gemma":[0.6332978,0.1073508,0.05612711,0.17464,0.006493474,0.0002561531,0.000632321,0.0003158529,0.02088634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02671019,"threshold_uncertainty_score":0.1412587,"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."}}