{"id":"W4414079450","doi":"10.1109/jiot.2025.3607211","title":"Toward a Privacy-Preserving and Secure Smart City: Recent Advances in User-Centric Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Concordia University","funders":"","keywords":"Smart city; Software deployment; Leverage (statistics); Urbanization; Information privacy; Variety (cybernetics); Population; Information and Communications Technology","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0008385116,0.0001857194,0.0003048975,0.0006251471,0.000074952,0.0003067136,0.01913329,0.000135342,0.00001923406],"category_scores_gemma":[0.005214841,0.0001737977,0.00006216811,0.0009559668,0.0001094234,0.00204802,0.02827238,0.0008388245,0.00000293891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736313,"about_ca_system_score_gemma":0.0001131804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005018478,"about_ca_topic_score_gemma":0.00001379921,"domain_scores_codex":[0.9981391,0.00008768286,0.0006155614,0.0004390876,0.0003541066,0.0003644649],"domain_scores_gemma":[0.9967479,0.0002217023,0.0003869678,0.002378639,0.0001840586,0.00008074714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001093366,0.0005272867,0.07081573,0.0005766423,0.0002177518,0.0001456108,0.002750967,0.00007148478,0.002040452,0.01472666,0.2155812,0.6924369],"study_design_scores_gemma":[0.001252167,0.0001270922,0.00257015,0.001392461,0.00002690861,0.0003326647,0.0001754132,0.07321623,0.0153957,0.6707649,0.23431,0.0004363666],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03994749,0.009237627,0.9151229,0.03271813,0.0008710825,0.0003248638,0.000003957468,0.0002073688,0.001566539],"genre_scores_gemma":[0.6541149,0.01498919,0.329786,0.0007918247,0.0000653971,0.00004613474,0.000002058972,0.0000176797,0.0001867817],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6920006,"threshold_uncertainty_score":0.9861737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382765454027801,"score_gpt":0.2906193239578844,"score_spread":0.2667916694176063,"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."}}