{"id":"W4318958075","doi":"10.21810/jicw.v5i3.5183","title":"ETHICS IN DYSTOPIA? DIGITAL ADAPTATION AND US MILITARY INFORMATION OPERATIONS","year":2023,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dystopia; Vision; Presentation (obstetrics); Adaptation (eye); Information warfare; Information literacy; Face (sociological concept); Political science; Digital media; Competition (biology); Public relations; Diplomacy; Digital literacy; Media literacy; Media studies; Sociology; Politics; Law; Psychology; Social science; Pedagogy","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":[0.001277488,0.00006059559,0.0001034525,0.0001159758,0.0005081922,0.00007702524,0.000116027,0.00006520704,0.00001100483],"category_scores_gemma":[0.0007959756,0.00004320861,0.00002331877,0.0002829164,0.0002932858,0.0008964562,0.00004213035,0.0002930197,0.000008342982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002442173,"about_ca_system_score_gemma":0.0001038663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724586,"about_ca_topic_score_gemma":0.006408089,"domain_scores_codex":[0.9991987,0.0001130719,0.0002824305,0.00003959617,0.000242781,0.0001234547],"domain_scores_gemma":[0.9992347,0.0003721281,0.00005817501,0.00004742702,0.0002384751,0.00004904172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004291559,0.00001204184,0.002481889,0.0000217629,0.00002252706,0.000004516005,0.9192668,0.001537865,0.000005971517,0.02083564,0.0002472571,0.05552084],"study_design_scores_gemma":[0.0002210636,0.0001860361,0.02192178,0.0002027785,0.00003515664,0.00002986869,0.8327173,0.003107299,0.00005398957,0.005561928,0.1357624,0.0002004305],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820408,0.002625328,0.001060569,0.01221676,0.0002210156,0.0001608177,0.00001337765,0.00001858158,0.001642746],"genre_scores_gemma":[0.9805636,0.0190081,0.00002302372,0.0002315643,0.00005895552,0.000001400763,0.000003023828,0.000002033103,0.0001082651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1355151,"threshold_uncertainty_score":0.3908655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06376237153499634,"score_gpt":0.3322954879364813,"score_spread":0.2685331164014849,"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."}}