{"id":"W7014801436","doi":"","title":"The Response of Local-Level Public Authority to the Digital Transformation in Three Contexts","year":2025,"lang":"en","type":"other","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bureaucracy; Corporate governance; Digital transformation; Government (linguistics); Redress; Negotiation; Urban planning; Local government","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":[0.0002146333,0.0001185203,0.0001417872,0.0001729346,0.00002792823,0.00006173307,0.0003281535,0.0001736411,0.00007300906],"category_scores_gemma":[0.00009622885,0.0000652213,0.00004521053,0.0002312914,0.00006919933,0.0000449289,0.00003940415,0.0001638628,0.00002048271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004231657,"about_ca_system_score_gemma":0.00003255054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001405112,"about_ca_topic_score_gemma":0.007452454,"domain_scores_codex":[0.9994776,0.00001307825,0.000179385,0.00007192136,0.0001049637,0.0001530307],"domain_scores_gemma":[0.9994689,0.0001865369,0.00001845266,0.0002974342,0.00001569673,0.00001299476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006832489,0.0000129815,0.00008942944,0.0001090113,0.00009599661,0.000001186082,0.0002289427,0.0002417963,0.000005389382,0.1409556,0.3283218,0.5298696],"study_design_scores_gemma":[0.0001416665,0.00002160979,0.001962107,0.00009091547,0.000003812905,5.096227e-7,0.001002769,0.0008126959,0.0001694813,0.001195125,0.9944817,0.0001175888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001005953,0.0009345753,0.1581902,0.004661574,0.0004629396,0.0006336574,0.0002441973,0.00077452,0.8330925],"genre_scores_gemma":[0.8894775,0.0001128948,0.00006502119,0.00002971553,0.00002172068,0.00005713782,0.000006682163,0.00006008155,0.1101692],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8884715,"threshold_uncertainty_score":0.4158644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941295353178365,"score_gpt":0.2229680062585923,"score_spread":0.2035550527268087,"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."}}