{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001414461,0.0001024783,0.0001114743,0.0002766384,0.0009311389,0.0001907298,0.0005961579,0.0000728306,0.0004577218],"category_scores_gemma":[0.003026854,0.00009546865,0.00001845413,0.0009684294,0.0001531118,0.2844288,0.0003352524,0.0003950186,0.000006773788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000241732,"about_ca_system_score_gemma":0.001180993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008021612,"about_ca_topic_score_gemma":1.462363e-7,"domain_scores_codex":[0.9974984,0.001086487,0.0004443167,0.0001576674,0.0006429038,0.0001702568],"domain_scores_gemma":[0.9981408,0.0007295239,0.0006281848,0.0002745615,0.0001051347,0.0001217738],"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":[0.002004035,0.0002641465,0.004459694,0.0003765024,0.00002133912,0.000003634503,0.01390281,0.0005958314,0.0002929007,0.8270655,0.01486928,0.1361443],"study_design_scores_gemma":[0.0004277379,0.0004013366,0.02418245,0.0002720217,0.00001727568,0.0000120723,0.01040472,0.004380105,0.0007314939,0.001527342,0.9574313,0.0002121948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1389605,0.002352347,0.009812946,0.8216168,0.000807213,0.002873722,0.0004069693,0.0009047328,0.02226472],"genre_scores_gemma":[0.9425874,0.002423464,0.01344455,0.04022215,0.0003759027,0.0001465787,0.0004385389,0.00001352628,0.0003479205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.942562,"threshold_uncertainty_score":0.7255796,"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."}}