{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666259,0.0003234852,0.0003056606,0.001224248,0.002086276,0.006996888,0.001008575,0.001548218,0.005280518],"category_scores_gemma":[0.004373848,0.0003029532,0.0004456535,0.002179272,0.004060751,0.01115408,0.01124512,0.001810708,0.0009076802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860642,"about_ca_system_score_gemma":0.001928672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004465793,"about_ca_topic_score_gemma":0.008518432,"domain_scores_codex":[0.9987924,0.0006233001,0.00005788631,0.0001499056,0.0002274176,0.0001491188],"domain_scores_gemma":[0.9986057,0.0003384702,0.0001153213,0.0005212347,0.0001908248,0.0002284419],"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":[0.00005254171,0.00005016296,0.003747344,0.00008984376,0.00002229367,0.0001956403,0.002441294,0.009870093,0.0004951284,0.8891773,0.006746329,0.08711199],"study_design_scores_gemma":[0.00002519006,0.0000660766,0.002325456,0.0001814377,0.00003780752,0.0002574957,0.007046266,0.04172282,0.00207289,0.655589,0.2906261,0.00004947823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2132928,0.0031279,0.3748468,0.03342842,0.001004332,0.0002785525,0.0006467022,0.00127347,0.372101],"genre_scores_gemma":[0.8973891,0.002286015,0.0832359,0.001397565,0.0001500939,0.0000978349,0.000330252,0.0001337894,0.01497947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006996888,"threshold_uncertainty_score":0.01766509,"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."}}