{"id":"W4414328544","doi":"10.29379/jedem.v17i3.1033","title":"Strengthening democracy: The capacity of AI-powered insights for enhancing policy deliberation and transparency","year":2025,"lang":"en","type":"article","venue":"JeDEM - eJournal of eDemocracy and Open Government","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transparency (behavior); Deliberation; Accountability; Corporate governance; Context (archaeology); Legislature; Democratic governance; Democracy; Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680781,0.0001204789,0.0003226724,0.00003813098,0.001127981,0.0002801974,0.0003355507,0.0001222316,0.00001504089],"category_scores_gemma":[0.0007340636,0.00009031507,0.00007965969,0.000171276,0.0002506792,0.0007432058,0.00009238275,0.0002488482,1.298998e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330558,"about_ca_system_score_gemma":0.0005023907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876897,"about_ca_topic_score_gemma":0.004321499,"domain_scores_codex":[0.9983656,0.0001837797,0.0005617038,0.0001687844,0.0005009475,0.0002191547],"domain_scores_gemma":[0.9983122,0.0008630618,0.0004010725,0.0001167884,0.0002100267,0.00009678653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004291213,0.0002537338,0.005048227,0.0002213115,0.000360636,0.000001021932,0.08894765,0.0000669451,0.01331273,0.832495,0.001742717,0.05712087],"study_design_scores_gemma":[0.003594321,0.0007359664,0.02953531,0.001392131,0.0003840026,0.000002886725,0.05436024,0.0007675608,0.02369121,0.8203822,0.06458332,0.000570813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8135746,0.0009685813,0.004289895,0.1412669,0.0003324812,0.001282204,0.00005220668,0.000008655776,0.03822452],"genre_scores_gemma":[0.9948257,0.001821959,0.0007276436,0.001859528,0.0001217187,0.00000739619,9.000287e-7,0.000006561442,0.0006285938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1812512,"threshold_uncertainty_score":0.8675629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325443587505143,"score_gpt":0.3675544894210374,"score_spread":0.3343000535459859,"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."}}