{"id":"W7008209965","doi":"","title":"Building a Smart City: Insights and Perspectives from the Winners of Smart City Challenge","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Government (linguistics); Context (archaeology); Nova scotia; Smart growth; Global city","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005205801,0.0006988578,0.0005839735,0.00229994,0.05542312,0.02511464,0.002207681,0.003589592,0.00355538],"category_scores_gemma":[0.004898061,0.0004226487,0.0004806128,0.004643553,0.03313202,0.007378523,0.01056628,0.008280161,0.0003719871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1042476,"about_ca_system_score_gemma":0.113912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9559218,"about_ca_topic_score_gemma":0.9805487,"domain_scores_codex":[0.992211,0.002303847,0.00008478836,0.0003948325,0.001622031,0.00338355],"domain_scores_gemma":[0.994575,0.00126751,0.0002485433,0.0001400288,0.001129714,0.002639201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002769917,0.00004018637,0.007336158,0.0001013679,0.00001090927,0.001157023,0.7641265,0.0003534073,0.0002424226,0.1824235,0.03355481,0.01062601],"study_design_scores_gemma":[0.000002692734,0.000006483121,0.002695039,0.00009734892,0.000006234328,0.00008275633,0.8402839,0.0001481103,0.0001054273,0.003944718,0.1526022,0.00002507733],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4356317,0.005457098,0.002114718,0.1588222,0.0006054687,0.0001338227,0.0005093822,0.00006230608,0.3966633],"genre_scores_gemma":[0.9753463,0.002540587,0.0005836588,0.00431205,0.00005992463,0.00002968816,0.0001238593,0.00005083894,0.01695316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9559218,"threshold_uncertainty_score":0.7563729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06356378245796884,"score_gpt":0.2537720825932419,"score_spread":0.1902083001352731,"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."}}