{"id":"W4410186820","doi":"10.1177/27523543251340713","title":"AI-Powered Digital Identity Systems and the New Digital Divide: The Case of World","year":2025,"lang":"en","type":"article","venue":"Emerging Media","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Identity (music); Telecommunications; Digital divide; Computer science; Digital identity; Computer security; World Wide Web; Information and Communications Technology; Art; Aesthetics","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":[0.01280201,0.0004115384,0.0004027042,0.001987586,0.02821343,0.01888598,0.001340552,0.007858893,0.006693162],"category_scores_gemma":[0.01093226,0.0003716705,0.0005641311,0.00233501,0.06109954,0.02782468,0.0149759,0.006664627,0.0007688085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008865889,"about_ca_system_score_gemma":0.005442374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007418443,"about_ca_topic_score_gemma":0.009440414,"domain_scores_codex":[0.98987,0.007117971,0.0001553215,0.0005288519,0.0009985163,0.00132928],"domain_scores_gemma":[0.9912953,0.006138897,0.0004833576,0.001048263,0.0004219623,0.0006121797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007833773,0.00001042842,0.0002306356,0.00001387185,0.000001273367,0.0003002854,0.02892072,0.0000939392,0.00004999943,0.9671619,0.0007876002,0.002421534],"study_design_scores_gemma":[0.00002905616,0.00003402917,0.0006003534,0.0002824045,0.0000118309,0.0006755329,0.1341513,0.001512927,0.0008207361,0.6280509,0.2337981,0.000032679],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1998078,0.003010719,0.0206797,0.07451691,0.000318311,0.0001154493,0.0000398617,0.00004239612,0.7014688],"genre_scores_gemma":[0.9736567,0.001023933,0.002818364,0.002393994,0.00006545865,0.00009259673,0.00001485206,0.00003823628,0.01989588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02821343,"threshold_uncertainty_score":0.06770426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038473971661546,"score_gpt":0.2749415658991924,"score_spread":0.264556826182577,"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."}}