{"id":"W3092844071","doi":"10.1177/2057047320950635","title":"Making enemies with media","year":2020,"lang":"en","type":"article","venue":"Communication and the Public","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adversary; Politics; Order (exchange); Reprogramming; Psychology; Sociology; Computer science; Biology; Political science; Computer security; Law; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003826828,0.0007094628,0.0003551031,0.002240618,0.004348354,0.01161799,0.0009152588,0.001684984,0.01065755],"category_scores_gemma":[0.01878714,0.0004636494,0.0003918339,0.001010379,0.01416144,0.01470592,0.006679579,0.002913455,0.002187369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524884,"about_ca_system_score_gemma":0.001369948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921612,"about_ca_topic_score_gemma":0.001904264,"domain_scores_codex":[0.996965,0.00132918,0.0001068225,0.0004251668,0.0008532328,0.0003206037],"domain_scores_gemma":[0.9930907,0.003708057,0.001109719,0.0009716693,0.0007674518,0.0003522669],"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":[0.0002280182,0.00009708617,0.01307291,0.0003128536,0.00006025653,0.0005038534,0.04436645,0.0006963562,0.004682332,0.7727802,0.01004995,0.1531498],"study_design_scores_gemma":[0.00004755603,0.0002200512,0.008679725,0.0007833301,0.0001118374,0.0007445898,0.04527482,0.00170436,0.01062142,0.4032553,0.5284556,0.0001015234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2063139,0.006281786,0.05862618,0.02914961,0.002027934,0.0001422591,0.0001954704,0.0003580394,0.6969048],"genre_scores_gemma":[0.9551669,0.002624406,0.01019955,0.002331253,0.0007992171,0.00007379372,0.00009885763,0.0001420279,0.02856405],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01161799,"threshold_uncertainty_score":0.03565305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09960776204280046,"score_gpt":0.328707445562929,"score_spread":0.2290996835201285,"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."}}