{"id":"W6922167259","doi":"10.11575/prism/40641","title":"Building Trust in Smart Cities: A Case Study of Seoul Smart City and Recommendations for Calgary's Smart City Alliance","year":2022,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Big data; Context (archaeology); Corporate governance; Service (business); Alliance; Administration (probate law); Public service","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005083842,0.0005274832,0.0004734579,0.001260529,0.02292932,0.007645353,0.002316948,0.003590817,0.006132762],"category_scores_gemma":[0.008171248,0.0005043566,0.0005864584,0.002503603,0.009655213,0.007287097,0.008580077,0.006006467,0.0007617703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01763617,"about_ca_system_score_gemma":0.0130849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1246035,"about_ca_topic_score_gemma":0.2923794,"domain_scores_codex":[0.993919,0.003944306,0.0001383211,0.0003200311,0.0004433558,0.001235039],"domain_scores_gemma":[0.9924182,0.002754212,0.0006175691,0.000617831,0.001067137,0.002525077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001080502,0.0008792536,0.04201515,0.0002171576,0.00007341315,0.02988101,0.7892535,0.001907901,0.000755792,0.08086312,0.02405211,0.0299935],"study_design_scores_gemma":[0.00002206564,0.0001070896,0.006179627,0.0001121478,0.00001645811,0.0006383185,0.933129,0.001006773,0.000228734,0.003280214,0.05524454,0.00003486954],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370719,0.0004282268,0.002192369,0.01952417,0.00008889022,0.0002493915,0.00009679485,0.0000481348,0.04030022],"genre_scores_gemma":[0.9860032,0.0005879587,0.001688069,0.001876417,0.00001511325,0.0001139517,0.00008934092,0.00005010782,0.009575791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8753965,"threshold_uncertainty_score":0.2477565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019148575295913,"score_gpt":0.2588911032608446,"score_spread":0.2286996175078855,"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."}}