{"id":"W4296787972","doi":"10.18438/eblip30122","title":"An Examination of Academic Library Privacy Policy Compliance with Professional Guidelines","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privacy policy; Transparency (behavior); Privacy law; Codebook; Coding (social sciences); Public relations; Information privacy; Computer science; Compliance (psychology); Internet privacy; Privacy by Design; Content analysis; Political science; World Wide Web; Sociology; Computer security; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.149136,0.0003079591,0.0006129339,0.01055805,0.006508847,0.01008149,0.002879211,0.002156867,0.00191012],"category_scores_gemma":[0.451477,0.0008122714,0.0005802545,0.01612487,0.008582726,0.009714296,0.008220513,0.0036324,0.0005211591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02348444,"about_ca_system_score_gemma":0.05117358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571655,"about_ca_topic_score_gemma":0.01133759,"domain_scores_codex":[0.7698807,0.1146009,0.02746535,0.006924041,0.0743575,0.00677159],"domain_scores_gemma":[0.390676,0.3817088,0.08077134,0.02511596,0.1159543,0.005773591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001529273,0.0004145723,0.1713926,0.002197004,0.00006774862,0.000676489,0.5883011,0.001059136,0.002175933,0.04347206,0.01061962,0.1794708],"study_design_scores_gemma":[0.0000321704,0.0002906533,0.1845298,0.003848239,0.00006776407,0.0005581065,0.6363723,0.00388065,0.004509522,0.01063352,0.1550613,0.0002160316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255273,0.001059441,0.01413153,0.01755636,0.000209604,0.001337886,0.0007461364,0.0002578243,0.03917395],"genre_scores_gemma":[0.9793976,0.0009782542,0.0125458,0.002182451,0.00007263812,0.001477216,0.0005803267,0.0000918365,0.002673885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9899185,"threshold_uncertainty_score":0.7887158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06097279427077373,"score_gpt":0.372825183781171,"score_spread":0.3118523895103972,"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."}}