{"id":"W4404556220","doi":"10.1017/9781009495738","title":"Decoding Terrorism","year":2024,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Manifesto; Terrorism; Context (archaeology); Computer security; Criminology; Political science; Public relations; Psychology; Computer science; History; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003502488,0.0004558981,0.0004954725,0.000279703,0.0006208936,0.0002215669,0.001125594,0.0008066114,0.00002409671],"category_scores_gemma":[0.00004302344,0.0005390117,0.0003999693,0.00003714145,0.0008081618,0.0002021274,0.0004022655,0.00101087,0.0002757344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127261,"about_ca_system_score_gemma":0.001148135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845925,"about_ca_topic_score_gemma":0.00007852,"domain_scores_codex":[0.9972371,0.0002122555,0.0002764614,0.0007717641,0.0006525129,0.0008499189],"domain_scores_gemma":[0.9984215,0.0002063599,0.0001532513,0.000543676,0.0001566205,0.0005185543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002172794,0.0000116371,0.000002199386,0.0001523672,0.0001050793,0.0006476862,0.009379948,1.449785e-7,0.0000039359,0.4366011,0.5505632,0.002510959],"study_design_scores_gemma":[0.0001782245,0.00003368071,0.000004569875,0.0005976107,0.0002812697,0.000005594096,0.01002669,0.00002565966,0.00001577129,0.00006963228,0.9881673,0.0005939825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006250608,0.0004815494,0.0002811372,0.0001832925,0.002757285,0.0004375013,0.0003288492,0.0005680844,0.9943373],"genre_scores_gemma":[0.02636844,0.0002959384,0.00001308376,0.000224684,0.001626931,0.000002100217,0.00003909681,0.00006681032,0.9713629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4376041,"threshold_uncertainty_score":0.9997061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986922833926949,"score_gpt":0.2655045244168829,"score_spread":0.2356352960776134,"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."}}