{"id":"W2301488944","doi":"10.1017/s1472669616000050","title":"The Intersection of Freedom of Information, Privacy Legislation and Library Services in Canadian Jurisdictions","year":2016,"lang":"en","type":"article","venue":"Legal Information Management","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Notice; Freedom of information; Confidentiality; Privacy law; Privacy policy; Intersection (aeronautics); Relation (database); Law; Internet privacy; Intellectual freedom; Business; Political science; Information privacy; Computer science; Censorship; Engineering; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103719,0.0003584655,0.0007291089,0.01203266,0.03964256,0.01749973,0.002549855,0.003110058,0.009678124],"category_scores_gemma":[0.03017377,0.0006866372,0.0006823429,0.02514223,0.02853237,0.00487554,0.009387591,0.003597347,0.0002670751],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.250356,"about_ca_system_score_gemma":0.3580024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957809,"about_ca_topic_score_gemma":0.9975096,"domain_scores_codex":[0.9721727,0.005167731,0.0008411963,0.001412151,0.01168294,0.008723258],"domain_scores_gemma":[0.9711835,0.01421451,0.002305752,0.0009143504,0.008375717,0.003006226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004969427,0.00003333014,0.01496651,0.000392395,0.00002928483,0.001287069,0.06893245,0.0006906305,0.0002407773,0.8766548,0.01228388,0.02443918],"study_design_scores_gemma":[0.00004170004,0.00004559676,0.09147972,0.002669492,0.0002180448,0.0008894833,0.2523868,0.002359454,0.001020567,0.1129295,0.5356364,0.0003232981],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2609394,0.01000183,0.002788604,0.0479155,0.0001319739,0.0002921979,0.000981343,0.0000439363,0.6769053],"genre_scores_gemma":[0.9831518,0.003199298,0.001305936,0.002091318,0.00002246214,0.00005572247,0.0001351572,0.0000125628,0.01002572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.250356,"threshold_uncertainty_score":0.8694808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00710897612565106,"score_gpt":0.232370729037758,"score_spread":0.225261752912107,"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."}}