{"id":"W4378383876","doi":"10.1515/9780228000600-005","title":"Terrorists, Radicals, and Activists <i>Distinguishing between Countering Violent Extremism and Preventing Extremist Violence, and Why It Matters</i>","year":2020,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Violent extremism; Criminology; Political science; Psychology; Computer security; Terrorism; Law; Computer science","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":[0.0006983665,0.0005427387,0.0003050856,0.0008494633,0.0022111,0.005334816,0.0005627244,0.002587409,0.03989861],"category_scores_gemma":[0.001569663,0.000296656,0.0002283335,0.001400747,0.002893171,0.003239478,0.001352851,0.003965102,0.01039488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003210761,"about_ca_system_score_gemma":0.006472597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080821,"about_ca_topic_score_gemma":0.09390312,"domain_scores_codex":[0.9993272,0.0001866798,0.00001582518,0.00006347893,0.0003238233,0.00008309985],"domain_scores_gemma":[0.9992647,0.0003905879,0.00005984108,0.00002324036,0.0001300797,0.0001316811],"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":[0.000007611476,0.00001053341,0.00009387054,0.0001718871,0.000002315101,0.00001102524,0.0009236811,0.0000289411,0.00006035635,0.07751946,0.8844533,0.03671699],"study_design_scores_gemma":[0.000003439167,0.000004051762,0.0003900363,0.0003966631,0.000002311625,0.0000201893,0.0008600937,0.00001610947,0.00003795843,0.01352075,0.9847445,0.000003814883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005501655,0.1066209,0.0004897327,0.05648229,0.01302519,0.0000407349,0.0002880392,0.00008859032,0.8224142],"genre_scores_gemma":[0.01586152,0.07023206,0.00136988,0.02108677,0.003698926,0.00007972037,0.0003979171,0.0001405762,0.8871326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9791918,"threshold_uncertainty_score":0.1334741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449104668322563,"score_gpt":0.247110650800065,"score_spread":0.2226196041168394,"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."}}