{"id":"W2481236016","doi":"10.1007/978-3-319-33798-2_4","title":"Cognitive Cities, Big Data and Citizen Participation: The Essentials of Privacy and Security","year":2016,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sine qua non; Internet privacy; Privacy by Design; Accountability; Computer security; Cognition; Information privacy; Big data; Computer science; Political science; Psychology; Law","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":[0.002318454,0.0008233978,0.000484588,0.00154219,0.003572788,0.01646628,0.001368655,0.003622714,0.007093566],"category_scores_gemma":[0.004326343,0.0003803262,0.0004851163,0.003931394,0.02071096,0.01568753,0.005073074,0.004041157,0.00083618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761396,"about_ca_system_score_gemma":0.006120576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267331,"about_ca_topic_score_gemma":0.01508233,"domain_scores_codex":[0.9982617,0.0008122998,0.00005196238,0.0002002708,0.0004617731,0.0002119078],"domain_scores_gemma":[0.996176,0.00272736,0.0001871035,0.0004506257,0.0002653625,0.0001933752],"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":[0.000005626023,0.000007038125,0.0001246829,0.000052543,0.000004510513,0.00002016334,0.003169975,0.0003017744,0.00003288938,0.9766483,0.009223899,0.01040864],"study_design_scores_gemma":[0.000003349682,0.000003302182,0.000197108,0.0001084993,0.000003452258,0.00004056738,0.002886342,0.0005780047,0.00009615701,0.8398795,0.156195,0.000008781925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02181143,0.03929554,0.06639437,0.1042587,0.00194055,0.00006486222,0.0003768738,0.0002361791,0.7656215],"genre_scores_gemma":[0.8368015,0.03584233,0.01766395,0.007242168,0.001745265,0.0002435102,0.0003651734,0.0002831097,0.09981297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01646628,"threshold_uncertainty_score":0.03454649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434442565861166,"score_gpt":0.3868261891967059,"score_spread":0.2433819326105893,"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."}}