{"id":"W4281773811","doi":"10.1080/13604813.2022.2079881","title":"From the smart city to urban justice in a digital age","year":2022,"lang":"en","type":"article","venue":"City","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Smart city; Economic Justice; Sociology; Corporate governance; Transformational leadership; Urbanism; Right to the city; Representation (politics); Redistribution (election); Political science; Public relations; Law; Architecture; Politics; Computer security; Business; Internet of Things; Computer science; History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005642215,0.00006531848,0.00007796719,0.00002733781,0.00008286017,0.0000463926,0.0002504544,0.00002394357,0.0001362465],"category_scores_gemma":[0.00009779761,0.00005665904,0.00002617274,0.0001928772,0.00002207788,0.00004828981,0.0002282629,0.0002185149,0.00001518814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007401722,"about_ca_system_score_gemma":0.000004682825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003008483,"about_ca_topic_score_gemma":0.0001566711,"domain_scores_codex":[0.9995787,0.000005380983,0.00007897949,0.00009882657,0.0000905466,0.0001476044],"domain_scores_gemma":[0.9996529,0.00009314018,0.000006439976,0.0002231117,0.000004328279,0.00002010958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005148843,0.0001346365,0.3815776,0.00004673869,0.0001001423,0.000283467,0.009152503,0.01503338,0.0007848124,0.004844985,0.5632714,0.02471888],"study_design_scores_gemma":[0.0004428099,0.00007121873,0.3466423,0.00001728214,0.00002666389,0.000005484281,0.006883624,0.00385356,0.0006802647,0.008635744,0.632287,0.0004540687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99208,0.0001152856,0.0002510528,0.0003254361,0.0004468678,0.00009171361,0.0001200443,0.0003456187,0.006223953],"genre_scores_gemma":[0.9994715,0.000002331993,0.0000571776,0.0001669389,0.00008461624,0.0000405902,0.00001102745,0.00000867611,0.0001571658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06901562,"threshold_uncertainty_score":0.2310489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876976751878553,"score_gpt":0.2036917620682732,"score_spread":0.1849219945494877,"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."}}