{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003938043,0.00009603994,0.0002018038,0.000981256,0.003935876,0.004019058,0.0009243833,0.001244552,0.005502259],"category_scores_gemma":[0.01125015,0.0001694953,0.000173522,0.00225901,0.00559172,0.002349519,0.003647004,0.001622363,0.0003565809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00759352,"about_ca_system_score_gemma":0.004328932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04762371,"about_ca_topic_score_gemma":0.07435843,"domain_scores_codex":[0.9956113,0.002224081,0.0001629671,0.0004364888,0.0007138063,0.0008514755],"domain_scores_gemma":[0.9913524,0.003886257,0.002234175,0.0003806422,0.001288197,0.0008583249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003338702,0.0002166722,0.1977959,0.0005317031,0.0000276372,0.001647603,0.6468883,0.00128628,0.004121233,0.05790674,0.01002061,0.07922334],"study_design_scores_gemma":[0.00000875021,0.0001456994,0.1317872,0.0002108396,0.00001027411,0.000139721,0.7992612,0.0005878094,0.0006295647,0.002467813,0.06470942,0.000041729],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635266,0.0003556479,0.0008261589,0.009190834,0.00003614499,0.0000429302,0.00008324785,0.00002446017,0.02591393],"genre_scores_gemma":[0.9970459,0.0001818182,0.0001108379,0.0004962832,0.00001159367,0.00002060446,0.00002838882,0.00000732239,0.002097189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04762371,"threshold_uncertainty_score":0.09469301,"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."}}