{"id":"W4390410470","doi":"10.1177/10780874231222243","title":"Examining the Smart City Generational Model: Conceptualizations, Implementations, and Infrastructure Canada's Smart City Challenge","year":2023,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Smart city; Conceptualization; Modernization theory; Government (linguistics); Vendor; Implementation; Business; Public relations; Sociology; Public administration; Economic growth; Political science; Marketing; Computer science; Computer security; Internet of Things; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009461421,0.0004069626,0.000297704,0.002558601,0.00718043,0.01027035,0.002718073,0.002184885,0.003488929],"category_scores_gemma":[0.01146945,0.0002951059,0.000300181,0.00631786,0.01911565,0.006845117,0.004672708,0.003339785,0.0002066298],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09310389,"about_ca_system_score_gemma":0.1013153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8394344,"about_ca_topic_score_gemma":0.8740219,"domain_scores_codex":[0.9938838,0.00243808,0.0001570736,0.0003987322,0.002063473,0.001058875],"domain_scores_gemma":[0.9896426,0.003793217,0.0006677574,0.0005089117,0.004167418,0.001220202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001219793,0.00003454705,0.009866551,0.0001767911,0.00000938622,0.0002206787,0.0398756,0.001156107,0.00006064371,0.910866,0.01158761,0.02613403],"study_design_scores_gemma":[0.00004097528,0.00005463874,0.02590601,0.001657749,0.00004060879,0.0003693862,0.2611671,0.005694704,0.0003108481,0.1234809,0.5811591,0.000118029],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2751995,0.03134706,0.01702531,0.1774649,0.0006446416,0.0005601508,0.0006667992,0.00009590793,0.4969958],"genre_scores_gemma":[0.9771688,0.008696892,0.00274534,0.003200517,0.00003626429,0.0001583468,0.0001989384,0.00002869768,0.007766388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9068961,"threshold_uncertainty_score":0.6755191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094860538782919,"score_gpt":0.2456101674625639,"score_spread":0.2046615620747347,"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."}}