{"id":"W3014576086","doi":"10.1111/cag.12607","title":"Public engagement in smart city development: Lessons from communities in Canada's Smart City Challenge","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Brock University","funders":"","keywords":"Smart city; Context (archaeology); Indigenous; Public relations; Public engagement; Civic engagement; Community engagement; Public administration; Political science; Business; Politics; Geography; Engineering; Internet of Things","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007739469,0.0006811714,0.0007118389,0.001541272,0.08367924,0.01741223,0.003458956,0.005112437,0.005253865],"category_scores_gemma":[0.009639382,0.0004973907,0.0007065948,0.003397906,0.02366523,0.005714544,0.01778677,0.007172962,0.0005442395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1330593,"about_ca_system_score_gemma":0.2365684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785873,"about_ca_topic_score_gemma":0.9934909,"domain_scores_codex":[0.9879777,0.004579992,0.0001352831,0.0005577117,0.001556267,0.005192867],"domain_scores_gemma":[0.9855214,0.003607745,0.0003319556,0.0004015017,0.002798385,0.007338996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000835301,0.0002817464,0.01206662,0.0001695863,0.00001723228,0.002291542,0.8853741,0.0004707444,0.0003108191,0.03571973,0.03047472,0.03273965],"study_design_scores_gemma":[0.00001525211,0.00002420436,0.003430443,0.0001192043,0.000005558195,0.00007329611,0.915881,0.0001891799,0.00008569707,0.002592685,0.0775564,0.00002711271],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7196319,0.003028577,0.001855479,0.117472,0.0005826866,0.000510379,0.0002497662,0.00008474183,0.1565846],"genre_scores_gemma":[0.9760938,0.001337903,0.0009405824,0.004873594,0.00003633002,0.0001297741,0.00009396459,0.00005126326,0.0164428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1330593,"threshold_uncertainty_score":0.9654173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490609839439899,"score_gpt":0.1907815828747246,"score_spread":0.1458754844803256,"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."}}