{"id":"W4237830505","doi":"10.4018/978-1-5225-1837-2.ch064","title":"Radicalization and Recruitment","year":2017,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radicalization; Terrorism; Apprehension; Process (computing); Conceptual framework; Through-the-lens metering; State (computer science); Political science; Criminology; Computer science; Sociology; Lens (geology); Psychology; Engineering; Law; Social science; Cognitive psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003509918,0.0001218146,0.000160339,0.00002491118,0.000752794,0.0002506291,0.0001316582,0.0001947983,0.0001404331],"category_scores_gemma":[0.00003207076,0.0001214331,0.00004597013,0.000003008512,0.0001992402,0.000124681,0.00004254221,0.00005430925,0.00007770029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269656,"about_ca_system_score_gemma":0.0001670703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005483234,"about_ca_topic_score_gemma":0.0006894572,"domain_scores_codex":[0.9991034,0.00002715547,0.0002532137,0.0001311684,0.0003333925,0.0001516458],"domain_scores_gemma":[0.9992808,0.00001400085,0.0003396695,0.0001727109,0.00009623245,0.00009663904],"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":[0.000004874875,5.793908e-7,0.00001197739,0.00001102522,0.00001634405,0.00000103989,0.001917106,4.956205e-8,2.051853e-7,0.9677913,0.003309626,0.02693583],"study_design_scores_gemma":[0.0001182937,0.00001586502,0.00001244694,0.00005010008,0.00001534221,0.000001533202,0.0002790602,0.000001165185,0.000001206192,0.2995195,0.6998857,0.00009982798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001837468,0.00008276074,0.0003324072,0.0001653143,0.0005369811,0.0006718807,0.00006756809,0.00004705636,0.9980776],"genre_scores_gemma":[0.1388648,0.0001276427,0.0002223091,0.0007369016,0.001150107,0.00006636488,0.00004177693,0.0000255019,0.8587645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6965761,"threshold_uncertainty_score":0.5789959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07976279587006291,"score_gpt":0.3646183601186336,"score_spread":0.2848555642485707,"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."}}