{"id":"W3019283501","doi":"10.21902/revistajur.2316-753x.v2i55.3412","title":"THE DIGITALIZATION OF BRAZILIAN CITIES: A STUDY BASED ON INFORMATION FROM THE MINISTRY OF COMMUNICATIONS","year":2019,"lang":"en","type":"article","venue":"Revista Jurídica","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Context (archaeology); Information and Communications Technology; Cyberspace; Christian ministry; Digital divide; Political science; Humanities; Information society; Citizenship; Urbanization; Population; Sociology; Geography; Economic growth; The Internet; World Wide Web; Art; Computer science; Law","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":[0.0001074958,0.00006191491,0.000105694,0.00002619084,0.00006253494,0.00005133019,0.0004453747,0.00003308212,0.00001655515],"category_scores_gemma":[0.0000974921,0.00003813473,0.000038005,0.0001437972,0.00009779773,0.00009105813,0.00005457232,0.00007389271,0.000009960013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001725997,"about_ca_system_score_gemma":0.00001657471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002712268,"about_ca_topic_score_gemma":0.0000085989,"domain_scores_codex":[0.9994879,0.00002296969,0.0002559696,0.0000366333,0.0001334794,0.00006300633],"domain_scores_gemma":[0.9985027,0.0004475251,0.00008665096,0.0009163132,0.00003909333,0.000007701251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002461234,0.0008471631,0.4655577,0.001752337,0.001028024,0.000001005502,0.02221094,0.01883778,0.0007931099,0.1915612,0.04837625,0.2487883],"study_design_scores_gemma":[0.001428659,0.0006337386,0.1434232,0.0007266203,0.0001107444,6.173167e-7,0.04720328,0.1170243,0.001315416,0.0008392455,0.6868787,0.0004154492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851373,0.0004626563,0.0008595235,0.0006489373,0.0000960414,0.0006170934,0.0001575388,0.0001564569,0.01186446],"genre_scores_gemma":[0.9997011,0.0001219097,0.00005419307,0.00003018962,0.000005808912,0.00001847388,0.00004666853,0.00000601583,0.00001568324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385025,"threshold_uncertainty_score":0.1555089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008470836511988008,"score_gpt":0.2166974378544425,"score_spread":0.2082266013424544,"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."}}