{"id":"W7043076606","doi":"","title":"Smart City Governance: A comparison of models and COVID-19 related implications within the GTA","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Corporate governance; Citizen journalism; Thematic analysis; Process (computing); Key (lock); Urban planning; Social media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009775152,0.0001479935,0.0003125716,0.00009289094,0.0002482734,0.000008990422,0.000381859,0.0001973484,0.0001222567],"category_scores_gemma":[0.00001957126,0.0001506652,0.00007954217,0.0002225186,0.0001425045,0.0001048587,0.0001001731,0.0003519639,0.000001092649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141804,"about_ca_system_score_gemma":0.00005340269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02252689,"about_ca_topic_score_gemma":0.03194441,"domain_scores_codex":[0.9993678,0.00002146835,0.0001463293,0.0001777311,0.0001598757,0.0001267412],"domain_scores_gemma":[0.9992999,0.00006083096,0.0002117903,0.0003436974,0.00004118593,0.00004252768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002559199,0.0001598905,0.01541916,0.002264425,0.001125885,0.00001478191,0.6812816,0.1701802,0.002553523,0.08951789,0.0335776,0.0036491],"study_design_scores_gemma":[0.001075282,0.0001743834,0.02405878,0.0001363619,0.000434303,0.000008450746,0.8912506,0.06313522,0.001366699,0.01369714,0.003987696,0.0006750922],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962728,0.0008342079,0.00006411009,0.001020048,0.0001532239,0.0002374317,0.0001868083,0.0002028825,0.00102851],"genre_scores_gemma":[0.9718288,0.0005648099,0.000279713,0.000007067909,0.000003475586,0.000002185043,0.0002426211,0.00001906621,0.02705229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.209969,"threshold_uncertainty_score":0.9857201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115421817172277,"score_gpt":0.2284532322802047,"score_spread":0.2072990141084819,"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."}}