{"id":"W2952697566","doi":"10.18438/eblip29555","title":"Academic Librarians in Canada Concerned About Online and Patron Privacy but Lack Knowledge About Institutional Procedures and Policies","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Personally identifiable information; Government (linguistics); Privacy policy; Public relations; Scale (ratio); Psychology; Library science; Political science; Information privacy; Medical education; Internet privacy; Business; Computer science; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0004733443,0.0001341552,0.0001508557,0.0001472734,0.0003539796,0.0003657163,0.0002518356,0.0001326203,0.00008351895],"category_scores_gemma":[0.00331158,0.0001308612,0.00001196322,0.0003389662,0.0002005174,0.1281809,0.0002394082,0.0004220452,0.00001007758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007731582,"about_ca_system_score_gemma":0.004699084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1262897,"about_ca_topic_score_gemma":0.01022846,"domain_scores_codex":[0.9986606,0.0002687809,0.0003771093,0.0001863309,0.0002707239,0.0002364074],"domain_scores_gemma":[0.9984701,0.0009090865,0.0002624993,0.0001484935,0.00004710176,0.0001627617],"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":[0.001517684,0.0001394987,0.2776318,0.001814418,0.00004173081,0.00000823828,0.02784725,0.0001633901,0.0001646377,0.637418,0.008140989,0.04511234],"study_design_scores_gemma":[0.0008781995,0.00009185575,0.3244133,0.0007410818,0.00001862714,0.00001530775,0.009302949,0.002599869,0.0001928261,0.0008128755,0.6606236,0.0003094646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140781,0.00710604,0.0001253221,0.07217284,0.0002957641,0.0008860436,0.0001361445,0.00009059132,0.005109143],"genre_scores_gemma":[0.9681234,0.0171875,0.0004783451,0.01380881,0.0001610197,0.00002196041,0.00008987483,0.000005543242,0.0001235608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6524826,"threshold_uncertainty_score":0.8840128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275184422782863,"score_gpt":0.3075294103601272,"score_spread":0.2800109680818409,"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."}}