{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001944318,0.0001774428,0.0002280018,0.00004769985,0.0002374669,0.0000405846,0.0001796139,0.00005658376,0.0002121528],"category_scores_gemma":[0.0000895249,0.0001411301,0.00003357615,0.0003295223,0.00007469053,0.00009353,0.00009556588,0.0001597912,0.00000394467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009618409,"about_ca_system_score_gemma":0.0001095368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989572,"about_ca_topic_score_gemma":0.0364446,"domain_scores_codex":[0.9990118,0.0000328764,0.0003043968,0.0001884697,0.0002179124,0.0002445097],"domain_scores_gemma":[0.9994859,0.00009044255,0.00004930395,0.0002748799,0.00004947322,0.00004997272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.281111e-7,0.000003751686,0.01019292,0.000751712,0.00009261534,0.00000477071,0.0003201426,0.006269887,0.00001454841,0.01709217,0.9526192,0.01263763],"study_design_scores_gemma":[0.0003690275,0.00003183906,0.01793854,0.0006668751,0.0001287939,0.00001895112,0.002793017,0.1091628,0.00007394321,0.00177095,0.8663697,0.0006756161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1514439,0.7590388,0.01598871,0.02657089,0.002878689,0.005239122,0.00215696,0.006099313,0.03058361],"genre_scores_gemma":[0.8939992,0.1037389,0.0006991964,0.0005735885,0.0001056023,0.0002158438,0.0003518529,0.0000370927,0.0002787063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7425553,"threshold_uncertainty_score":0.9811378,"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."}}