{"id":"W2281318482","doi":"10.22230/cjc.2016v41n1a3024","title":"Exchanging Terrorism Oxygen for Media Airwaves: The Age of Terroredia","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Terrorism; Advertising; Business; Political science; Internet privacy; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007879115,0.0004966003,0.0004643305,0.002097218,0.008570643,0.01612173,0.0012426,0.007246959,0.02169328],"category_scores_gemma":[0.01928141,0.0003803255,0.0002561309,0.001623462,0.0151721,0.01801099,0.004233866,0.01247454,0.00335247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008433329,"about_ca_system_score_gemma":0.01260918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08106539,"about_ca_topic_score_gemma":0.1167931,"domain_scores_codex":[0.9970127,0.001208378,0.0001046013,0.00022871,0.0009223568,0.0005232488],"domain_scores_gemma":[0.9822603,0.007505022,0.001288364,0.001012547,0.004302851,0.003630926],"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":[0.0001437707,0.00006972394,0.002322828,0.0003073098,0.00002843478,0.0004191729,0.03968665,0.0001175724,0.0006280012,0.415658,0.4131396,0.127479],"study_design_scores_gemma":[0.00001091677,0.00001873167,0.00167829,0.0004496298,0.00001086015,0.0002168222,0.01812748,0.00008047032,0.0001415946,0.03454034,0.9446902,0.00003471289],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01109798,0.04868409,0.001799536,0.7481312,0.01313705,0.00001844922,0.0003754558,0.0001210407,0.1766353],"genre_scores_gemma":[0.5510111,0.1216299,0.004481735,0.2061518,0.04060322,0.00008644028,0.0004034977,0.0005389117,0.07509332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08106539,"threshold_uncertainty_score":0.1611871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03948245453550749,"score_gpt":0.3020924378896518,"score_spread":0.2626099833541443,"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."}}