{"id":"W4416320769","doi":"10.2139/ssrn.5629030","title":"Smart Cities and Infrastructure","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Smart city; Urbanization; Big data; Internet of Things; Quality (philosophy); Urban planning; Sustainable development","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":[0.0002352962,0.0005986054,0.0006802512,0.00143689,0.0009092049,0.004973241,0.0002244044,0.002349336,0.0556912],"category_scores_gemma":[0.00127009,0.000280986,0.0002497606,0.003372195,0.001219293,0.00441599,0.00135264,0.001795177,0.0077905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768708,"about_ca_system_score_gemma":0.0007688466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390291,"about_ca_topic_score_gemma":0.00554479,"domain_scores_codex":[0.9997913,0.00005991808,0.000007619626,0.00004517668,0.00007138701,0.00002452478],"domain_scores_gemma":[0.9997502,0.0001096127,0.00003137506,0.00004124307,0.00003660585,0.00003103157],"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":[0.000005139251,0.000009314692,0.0002519289,0.00004406052,0.000007796035,0.0000226209,0.0001214137,0.000369215,0.00004606476,0.9365444,0.04769029,0.01488783],"study_design_scores_gemma":[0.000004395341,0.000004244291,0.0005317769,0.00005501262,0.000007695692,0.00005771274,0.0002038952,0.0007171759,0.00005446574,0.7679496,0.2304102,0.000003969617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01365935,0.05193528,0.008931578,0.08057802,0.004023266,0.00001544457,0.0008846821,0.0002722149,0.8397002],"genre_scores_gemma":[0.4169032,0.06378642,0.004348477,0.005508798,0.006531123,0.00005718678,0.001023406,0.0003716195,0.5014697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0556912,"threshold_uncertainty_score":0.1863056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004060602605698483,"score_gpt":0.1947311504088314,"score_spread":0.1906705478031329,"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."}}