{"id":"W4291161965","doi":"10.3389/frsc.2022.960400","title":"Why government supported smart city initiatives fail: Examining community risk and benefit agreements as a missing link to accountability for equity-seeking groups","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Equity (law); Accountability; Government (linguistics); Smart city; Adaptation (eye); Business; Public relations; Relevance (law); Public economics; Political science; Economics; Psychology; Internet of Things; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001438702,0.000316968,0.0004651173,0.00027767,0.001312505,0.000212346,0.0004652816,0.0001121829,0.00005959757],"category_scores_gemma":[0.0004895675,0.0003848411,0.00006497012,0.0004156667,0.0001803164,0.0005460041,0.001395936,0.0007408909,2.038681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833981,"about_ca_system_score_gemma":0.000041849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193446,"about_ca_topic_score_gemma":0.0002716448,"domain_scores_codex":[0.9978369,0.0001233935,0.0004378477,0.0003207301,0.0004283372,0.0008527537],"domain_scores_gemma":[0.9989078,0.0003551714,0.0001105705,0.0004529036,0.00008237049,0.00009116634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004107027,0.0001436549,0.8595078,0.001924413,0.0003838118,0.00005615652,0.05647466,0.01011507,0.00009367984,0.004153278,0.01300546,0.0537313],"study_design_scores_gemma":[0.001177805,0.0005289275,0.07529078,0.00007939878,0.0000589253,0.000005504041,0.8101499,0.006962833,0.0005313518,0.06521173,0.03932764,0.0006752147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638773,0.0008071162,0.03001833,0.0003144479,0.000554077,0.0009833372,0.0002326307,0.0003902822,0.002822458],"genre_scores_gemma":[0.9943718,0.000111097,0.004039416,0.0003219964,0.00004175748,0.0006575418,0.00004082634,0.00005263183,0.0003629542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7842171,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801168040193314,"score_gpt":0.2600521080030718,"score_spread":0.2320404276011387,"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."}}