{"id":"W2992858609","doi":"10.3968/11310","title":"Mass Media, Terrorism and National Security: Defining the Threats","year":2019,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; National security; Mass media; Government (linguistics); Espionage; Public relations; Political science; Business; Computer security; Internet privacy; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009359929,0.0001331208,0.0001391204,0.00002837518,0.001107707,0.0005440316,0.0007065628,0.0001438029,0.000129535],"category_scores_gemma":[0.0003496294,0.00009312186,0.00005992633,0.000154511,0.00102827,0.0009001075,0.0001452078,0.0003384177,0.0002103043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326829,"about_ca_system_score_gemma":0.00008421241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008176031,"about_ca_topic_score_gemma":0.0005925803,"domain_scores_codex":[0.9984533,0.0002819169,0.000236225,0.0002127824,0.0004976947,0.0003180962],"domain_scores_gemma":[0.9983802,0.0006079228,0.0001135759,0.0004097339,0.0003861163,0.0001024551],"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":[0.00004455613,0.00006643311,0.06829373,0.00003649102,0.00005147085,0.000001250385,0.447823,0.000008764141,0.0003768188,0.4633028,0.002369103,0.01762564],"study_design_scores_gemma":[0.001277102,0.00008775391,0.09945437,0.0002789743,0.0000541525,0.00001541512,0.4304389,0.0009973263,0.0002107883,0.3334444,0.132854,0.0008868234],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472279,0.002143711,0.00001059493,0.006494459,0.0004219066,0.0002457603,0.00001930339,0.0001027914,0.04333358],"genre_scores_gemma":[0.997309,0.0008124214,0.00004718912,0.0007459872,0.0001520756,0.00002787011,0.0000542853,0.000009265357,0.000841872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1304849,"threshold_uncertainty_score":0.85197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299899504753577,"score_gpt":0.3689041232386787,"score_spread":0.338914172763321,"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."}}