{"id":"W2952390101","doi":"10.1596/31837","title":"Leveraging ICT Platforms to Foster Citizen Engagement For Enhanced Public Accountability","year":2019,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Seoul National University; Board of Audit and Inspection; Ewha Womans University; World Bank Group","keywords":"Accountability; Information and Communications Technology; Public engagement; Public relations; Political science; Business","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004883999,0.0008202389,0.000989344,0.0005458174,0.00141058,0.001589346,0.002278606,0.0005508951,0.002280851],"category_scores_gemma":[0.0002961712,0.0007929562,0.0005491885,0.0002335351,0.0002946478,0.0007704271,0.0007907252,0.0009773938,0.0004466559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024331,"about_ca_system_score_gemma":0.001851849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005924161,"about_ca_topic_score_gemma":0.02571636,"domain_scores_codex":[0.9938013,0.0001747021,0.0009819431,0.001411528,0.002017284,0.001613251],"domain_scores_gemma":[0.9958514,0.001367954,0.0006812153,0.001146167,0.0004633658,0.0004899082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003528016,0.0001709605,0.001233241,0.001300772,0.0008293072,0.000006025645,0.1330104,0.00000853801,0.0003998081,0.2056409,0.5843883,0.0726589],"study_design_scores_gemma":[0.0007487705,0.00007084155,0.0001177988,0.0003555272,0.00009846725,2.375589e-7,0.003923645,0.000006104651,0.000463161,0.01976449,0.9734197,0.00103124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01358897,0.0001101542,0.0002653938,0.003980188,0.003030118,0.004277751,0.0001388122,0.000406644,0.974202],"genre_scores_gemma":[0.09477299,0.00001334412,0.0006155955,0.006275995,0.002440216,0.0004920965,0.0002236226,0.0001576394,0.8950085],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3890315,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06400645095102454,"score_gpt":0.3084951278046817,"score_spread":0.2444886768536572,"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."}}