{"id":"W4407864900","doi":"10.21810/jicw.v7i3.6857","title":"KEY TAKEAWAYS REGARDING THE INTENTIONS OF RUSSIA’S MEDIA CAMPAIGNS","year":2025,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Political science; Advertising; Business; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002092079,0.0000631878,0.0001598683,0.0000596065,0.0006597861,0.00003238715,0.0006392095,0.00004011489,0.00004436489],"category_scores_gemma":[0.001102956,0.0000318236,0.00008215395,0.0002790416,0.0005951264,0.00008047016,0.0001042493,0.0002431062,0.000001308751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002690285,"about_ca_system_score_gemma":0.0001409136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00035717,"about_ca_topic_score_gemma":0.0009100302,"domain_scores_codex":[0.9989125,0.0002732729,0.0003599449,0.00004304459,0.0002848382,0.0001264658],"domain_scores_gemma":[0.9980139,0.00102938,0.0002870709,0.0002051865,0.0004224256,0.00004205353],"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":[0.0001217815,0.00006631656,0.003483234,0.00003699963,0.0002819285,0.000001921674,0.4131552,0.00005699291,0.0006522128,0.4812277,0.005952986,0.09496272],"study_design_scores_gemma":[0.0001544797,0.00009987838,0.004515692,0.0005554697,0.0002421027,0.00001089961,0.6617889,0.0001247001,0.001962004,0.01396656,0.3164579,0.0001214229],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4183039,0.09704982,0.04144972,0.2042057,0.004445015,0.001182609,0.00002169007,0.00005518826,0.2332864],"genre_scores_gemma":[0.9691523,0.03015732,0.00005536897,0.0002197022,0.00009100775,0.000002021408,2.554651e-7,0.000002343858,0.0003197297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5508484,"threshold_uncertainty_score":0.5074608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06684942091098635,"score_gpt":0.3439579890655178,"score_spread":0.2771085681545314,"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."}}