{"id":"W4413457231","doi":"10.1109/smartnets65254.2025.11106802","title":"Advancing Urban Intelligence Through Digital Twins in Smart Cities","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Royal Military College of Canada","funders":"","keywords":"Computer science; Smart city; Data science; Computer security; Internet of Things","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":[],"consensus_categories":[],"category_scores_codex":[0.00002465205,0.00009867828,0.0001149617,0.000103987,0.00002252084,0.00005331647,0.0001420693,0.00005818752,0.00004633749],"category_scores_gemma":[0.00004620413,0.00009333129,0.0000296065,0.0002685728,0.00004804913,0.0002825297,0.00007004031,0.0001192993,0.00002145785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006094589,"about_ca_system_score_gemma":0.000009251908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005297164,"about_ca_topic_score_gemma":0.0001241354,"domain_scores_codex":[0.999473,0.000001645916,0.0001536114,0.0001024181,0.00004802793,0.0002212883],"domain_scores_gemma":[0.9997514,0.00006282172,0.00000549339,0.0001611565,0.000009547171,0.000009519986],"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":[0.00001337299,0.00006542156,0.2629145,0.000441603,0.0001237688,0.00005053119,0.003828203,0.02394489,0.0003330784,0.5194565,0.05828997,0.1305382],"study_design_scores_gemma":[0.000431637,0.00009890459,0.0140814,0.00059901,0.0000153676,0.000009602099,0.0407101,0.03410916,0.08422896,0.15512,0.6694388,0.001157031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4635235,0.001288913,0.09462599,0.0003575093,0.0007523661,0.0001390658,0.000007002979,0.00205585,0.4372498],"genre_scores_gemma":[0.9970312,0.000156254,0.001125259,0.00007829141,0.00001510056,0.00001381434,0.00000203411,0.000009264899,0.001568808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6111488,"threshold_uncertainty_score":0.380594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009217519011498462,"score_gpt":0.2199816411069735,"score_spread":0.210764122095475,"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."}}