{"id":"W4318952094","doi":"10.21810/jicw.v5i3.5182","title":"INTERSECTIONS OF MASS MEDIA, TERRORISM, AND POLICY RESPONSE: HOW MASS MEDIATED REPRESENTATIONS OF TERRORISM MAY INFLUENCE COUNTERTERRORIST POLICIES","year":2023,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Mass media; Representation (politics); Politics; Presentation (obstetrics); Public opinion; Political science; Intersection (aeronautics); Public administration; Public relations; Law; Sociology; Medicine; Engineering; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008762029,0.0004009139,0.0003637577,0.001705267,0.004618328,0.01293087,0.0005773751,0.002135184,0.009148393],"category_scores_gemma":[0.01694031,0.0003326087,0.0004133805,0.001658367,0.006088855,0.00532721,0.004113176,0.003174466,0.0005651383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006750733,"about_ca_system_score_gemma":0.002896826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103141,"about_ca_topic_score_gemma":0.01669458,"domain_scores_codex":[0.990555,0.007603395,0.0001227727,0.0002361389,0.0008713562,0.0006113763],"domain_scores_gemma":[0.9851265,0.01241987,0.0009022022,0.0002343311,0.0008739493,0.000443272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007277524,0.0005158209,0.05160139,0.001015885,0.000215821,0.002019561,0.2891894,0.002572138,0.001675562,0.4938792,0.0378763,0.1187111],"study_design_scores_gemma":[0.0001200965,0.000487343,0.0816453,0.002187136,0.0002236453,0.0004428462,0.4836223,0.003828723,0.003886208,0.1284159,0.2949257,0.000214775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3961798,0.009091667,0.004327083,0.2309188,0.001373965,0.0001768083,0.0003062956,0.00004722335,0.3575784],"genre_scores_gemma":[0.9810356,0.003676958,0.0006843136,0.002956001,0.0003782753,0.00008129874,0.00004368265,0.00001573645,0.01112798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01293087,"threshold_uncertainty_score":0.04898024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409730957152309,"score_gpt":0.3588515575894429,"score_spread":0.317878461874212,"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."}}