{"id":"W4400202542","doi":"10.1108/dprg-10-2023-0150","title":"5G and urban amenity: regulatory trends and local government responses around small cell deployment","year":2024,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Amenity; Software deployment; Context (archaeology); Government (linguistics); Business; Legislation; Public administration; Regional science; Political science; Engineering; Geography; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0001746491,0.000135212,0.0001228373,0.00004902869,0.0002039353,0.0008743338,0.00005195367,0.00007288147,0.000008709187],"category_scores_gemma":[0.00002883803,0.0001344483,0.00003501122,0.0001960165,0.0003783469,0.001394085,0.00002737655,0.00006582105,0.000006217703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961596,"about_ca_system_score_gemma":0.00008236244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013717,"about_ca_topic_score_gemma":0.0002011834,"domain_scores_codex":[0.9990423,0.00002789812,0.0002017294,0.0002538837,0.0002610346,0.0002131591],"domain_scores_gemma":[0.9995766,0.00009959052,0.00006551457,0.00008882977,0.0000136629,0.0001557496],"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":[0.00007304503,0.00003367796,0.004768624,0.00006353716,0.00001827407,0.00000316966,0.004198779,0.00001169175,0.0000180744,0.2874658,0.001184382,0.702161],"study_design_scores_gemma":[0.0005049627,0.0001141853,0.1753163,0.0001438383,0.00002012474,0.0000101799,0.001297426,0.001060914,0.0002637234,0.009679778,0.8112193,0.000369278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8400055,0.00203796,0.0004134883,0.005438565,0.00009365943,0.0001532101,0.0001696136,0.000103594,0.1515844],"genre_scores_gemma":[0.9783852,0.0004770384,0.00001702231,0.000210412,0.0001626767,0.000008262661,0.000009176454,0.00001165835,0.0207186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8100349,"threshold_uncertainty_score":0.8431221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129533892329498,"score_gpt":0.2465502775510977,"score_spread":0.2335968883181479,"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."}}