{"id":"W4410042700","doi":"10.1080/02681102.2025.2498924","title":"Digitalization and dignity: digital driving in Kenya","year":2025,"lang":"en","type":"article","venue":"Information Technology for Development","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mastercard Foundation","keywords":"Dignity; Business; Political science; Internet privacy; Computer security; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002089659,0.00006436166,0.00008379943,0.0005568447,0.0002396954,0.0002587804,0.00009862659,0.0001253024,0.000002868169],"category_scores_gemma":[0.000194157,0.00007126161,0.00001285647,0.0004685488,0.0001018555,0.003332607,0.00003110608,0.00004752294,0.00001392736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137261,"about_ca_system_score_gemma":0.0001587342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003658051,"about_ca_topic_score_gemma":0.0001116485,"domain_scores_codex":[0.9993691,0.000003307594,0.000326484,0.00006689707,0.00006658572,0.0001675955],"domain_scores_gemma":[0.9997646,0.00003935916,0.00006264113,0.00004809776,0.00006442818,0.00002092547],"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":[0.000004380476,0.00001170142,0.02072579,0.00002110385,0.000007094101,4.595702e-8,0.002945937,0.000008323726,2.261837e-7,0.2719666,0.0001017303,0.7042071],"study_design_scores_gemma":[0.0004838005,0.00001196642,0.006623965,0.00008739649,0.000002214027,4.019945e-7,0.004811426,0.0001506745,0.0003037761,0.04638239,0.9410002,0.000141833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5088161,0.0000532852,0.1931274,0.005689864,0.0002948151,0.001408908,0.00001218871,0.0005059923,0.2900914],"genre_scores_gemma":[0.9983135,0.00002122945,0.001068097,0.000104075,0.000003416537,0.0001053038,0.00007957086,0.000001749845,0.0003029929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9408984,"threshold_uncertainty_score":0.2905964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007095927366564557,"score_gpt":0.2479577835280672,"score_spread":0.2408618561615026,"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."}}