{"id":"W1993230349","doi":"10.4018/ijss.2014070104","title":"Radicalization and Recruitment","year":2014,"lang":"en","type":"article","venue":"International Journal of Systems and Society","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radicalization; Terrorism; Apprehension; Process (computing); Through-the-lens metering; Conceptual framework; State (computer science); Computer science; Political science; Criminology; Sociology; Computer security; Lens (geology); Psychology; Law; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02061859,0.0006739098,0.0006307975,0.002083492,0.008959742,0.007157484,0.001876356,0.002628051,0.01953253],"category_scores_gemma":[0.03868816,0.0004114639,0.0007044419,0.001406939,0.01923106,0.009348508,0.01667577,0.003151658,0.002114227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004811406,"about_ca_system_score_gemma":0.005925862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609588,"about_ca_topic_score_gemma":0.001839105,"domain_scores_codex":[0.9820654,0.009812836,0.0006314961,0.002961143,0.002360513,0.002168704],"domain_scores_gemma":[0.9779183,0.01116224,0.003089385,0.002953588,0.002101264,0.002775073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006885233,0.0001686975,0.006871662,0.0003414911,0.00002699229,0.0002620219,0.05683491,0.0004919067,0.0007153609,0.8382267,0.00595602,0.09003549],"study_design_scores_gemma":[0.00006603439,0.0002166684,0.008114,0.0005901915,0.0000247233,0.0004304109,0.03444285,0.001204804,0.000910871,0.6951554,0.2587866,0.00005748548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1588654,0.003212335,0.0759072,0.03792714,0.001125942,0.00109754,0.0002037044,0.0001910852,0.7214698],"genre_scores_gemma":[0.9374993,0.001130118,0.01130222,0.003557073,0.0003163372,0.0006992706,0.0001145217,0.000111533,0.04526968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02061859,"threshold_uncertainty_score":0.1090428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418349686336152,"score_gpt":0.3631229533823722,"score_spread":0.321287984748757,"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."}}