{"id":"W4284881643","doi":"10.1007/s10708-022-10688-3","title":"‘Built from the internet up’: assessing citizen participation in smart city planning through the case study of Quayside, Toronto","year":2022,"lang":"en","type":"article","venue":"GeoJournal","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen science; Citizenship; Heuristics; Neighbourhood (mathematics); Scrutiny; Smart city; Agency (philosophy); Crowdsourcing; Public relations; Civic engagement; Politics; Sociology; Field (mathematics); Urban planning; Political science; Public administration; Internet privacy; Social science; Internet of Things; Engineering; Law; Computer science","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":[0.000374968,0.00009933535,0.0001470282,0.0000212511,0.0002332351,0.00007416508,0.0002787177,0.00002835287,0.0002494047],"category_scores_gemma":[0.0000486321,0.00006664599,0.00003908878,0.0001183297,0.00003070368,0.0002042301,0.0002007514,0.0004302558,5.349714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423602,"about_ca_system_score_gemma":0.00001268134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03620077,"about_ca_topic_score_gemma":0.02302233,"domain_scores_codex":[0.9990845,0.0001227593,0.0003101074,0.000100266,0.0001870892,0.0001952349],"domain_scores_gemma":[0.9993877,0.000262703,0.00008418211,0.0002344331,0.00001729746,0.00001369056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004377546,0.0001811746,0.6558132,0.00001142303,0.0002651988,0.001061287,0.1030717,0.2219452,0.0001625962,0.0001780776,0.005623738,0.01164265],"study_design_scores_gemma":[0.001176317,0.0002139968,0.3527963,0.00005770979,0.00007331727,0.0004456188,0.5955589,0.04527108,0.0003099194,0.00197146,0.001883227,0.0002421329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968981,0.0008044989,0.0008917542,0.0001271755,0.0005570652,0.0001441392,0.000008235914,0.00007910007,0.0004899799],"genre_scores_gemma":[0.9997369,0.00001087581,0.00005452872,0.00004179064,0.00007678044,0.00004926919,0.000002539746,0.00001263736,0.00001466679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4924873,"threshold_uncertainty_score":0.994805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282954556730273,"score_gpt":0.3180549599151305,"score_spread":0.2552254143478278,"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."}}