{"id":"W4412848161","doi":"10.2139/ssrn.5376137","title":"Disinformation, Security Politics, and Legislative Outcomes in Africa","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Disinformation; Politics; Legislature; Political science; Political economy; Computer security; Sociology; Computer science; Law; Social media","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":[0.003908839,0.0001770953,0.0002543135,0.001172059,0.002649363,0.003753616,0.0003328549,0.0009808143,0.01088408],"category_scores_gemma":[0.02215228,0.0001487549,0.0001261126,0.002495593,0.002783576,0.002650499,0.002480015,0.002102951,0.0004480913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204134,"about_ca_system_score_gemma":0.002306592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077034,"about_ca_topic_score_gemma":0.0167515,"domain_scores_codex":[0.9977815,0.0009268199,0.00005188876,0.00008467381,0.0001540409,0.001001127],"domain_scores_gemma":[0.9872825,0.006666229,0.004011149,0.000208688,0.0005832008,0.001248243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001144001,0.001025582,0.6241221,0.0003893968,0.0001088717,0.001932744,0.0959678,0.001581549,0.0009290547,0.215931,0.009420259,0.04744764],"study_design_scores_gemma":[0.000107047,0.0003317529,0.7806522,0.0006667289,0.0000950545,0.0003411551,0.1464987,0.001255585,0.001541037,0.03595343,0.03250979,0.00004752324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639935,0.0007489099,0.0001010305,0.007968346,0.00002925498,0.00001374528,0.0001344239,0.000002608746,0.02700813],"genre_scores_gemma":[0.9984452,0.0002703458,0.00001334299,0.000181385,0.00001670338,0.000006929187,0.00002111954,0.000002058845,0.00104286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01088408,"threshold_uncertainty_score":0.03641087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581448944839556,"score_gpt":0.3201486623806929,"score_spread":0.3043341729322974,"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."}}