{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002864101,0.0006554243,0.0007340965,0.00327373,0.0004800191,0.0001564051,0.001151512,0.0002695162,0.0002772397],"category_scores_gemma":[0.0001164481,0.0007865729,0.0001419529,0.00445578,0.0005984438,0.0003269318,0.0001843937,0.001027606,0.00000419009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109441,"about_ca_system_score_gemma":0.001204762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991534,"about_ca_topic_score_gemma":0.9999989,"domain_scores_codex":[0.9963166,0.0001171301,0.0007569049,0.0005246305,0.0003254592,0.001959246],"domain_scores_gemma":[0.9978006,0.0002549868,0.00007855845,0.0006702329,0.00009143139,0.001104127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008632383,0.00001815265,0.9687579,0.0001042537,0.0002254249,0.0002871864,0.005065936,0.000238786,0.000003162865,0.002287895,0.004742634,0.01826],"study_design_scores_gemma":[0.0006386495,0.00004300126,0.6690418,0.000138884,0.0000196189,0.000004182073,0.05111033,0.0004929054,0.00004813031,0.0008146357,0.2764572,0.001190721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981683,0.004938523,0.000005670571,0.007746289,0.0006501732,0.0004404237,0.0005946258,0.000392478,0.003548775],"genre_scores_gemma":[0.993775,0.00445514,0.0002027111,0.0008564143,0.00005576596,0.0002447204,0.0003219834,0.00007960855,0.00000864617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2997162,"threshold_uncertainty_score":0.9994585,"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."}}