{"id":"W4240439453","doi":"10.4018/978-1-5225-7113-1.ch101","title":"Is It Privacy or Is It Access Control?","year":2018,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Internet privacy; Information privacy; Computer science; Privacy by Design; Context (archaeology); Privacy software; Access control; Control (management); Computer security; Focus (optics); Private information retrieval; Privacy policy; Artificial intelligence; Geography","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":[0.005247802,0.0005698313,0.001058796,0.00113196,0.002340405,0.01348827,0.002243062,0.005138712,0.01356489],"category_scores_gemma":[0.009080557,0.0004618679,0.0008308321,0.003283699,0.02225344,0.03037828,0.00311739,0.007441157,0.004755229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00357463,"about_ca_system_score_gemma":0.00312955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881013,"about_ca_topic_score_gemma":0.000868503,"domain_scores_codex":[0.9949926,0.001723647,0.0002014895,0.0009438073,0.001636895,0.0005016439],"domain_scores_gemma":[0.9931709,0.004375159,0.0002731028,0.001456529,0.0004960108,0.0002283847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004490491,0.000007452376,0.00006301321,0.0001063882,0.000005574763,0.00002864167,0.0006054861,0.00008522029,0.0000669035,0.9664686,0.01284595,0.01971215],"study_design_scores_gemma":[0.000003004506,0.000009349139,0.00009685731,0.0003658136,0.000007283387,0.0001677976,0.0005139055,0.0002439207,0.0001826557,0.6779416,0.3204575,0.00001035681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004622169,0.08729073,0.1238521,0.2065566,0.005374561,0.0001130724,0.0004948502,0.0004545673,0.5712413],"genre_scores_gemma":[0.399773,0.2080556,0.05700283,0.07707881,0.01748629,0.0005211427,0.00111232,0.0008181214,0.2381519],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01356489,"threshold_uncertainty_score":0.04537904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08284734343199637,"score_gpt":0.3337350697395241,"score_spread":0.2508877263075278,"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."}}