{"id":"W4323050996","doi":"10.21121/eab.1166627","title":"A Bibliometric Analysis of Radicalization through Social Media","year":2023,"lang":"en","type":"article","venue":"Ege Akademik Bakis (Ege Academic Review)","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Radicalization; Political science; Politics; Social media; Terrorism; Thematic analysis; Sociology; Framing (construction); Newspaper; Criminology; Public relations; Social science; Media studies; Law; Qualitative research; Geography","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","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.004131882,0.0003167026,0.0012193,0.01637549,0.0003954145,0.00002650688,0.001222371,0.0007467216,0.001205022],"category_scores_gemma":[0.005567118,0.0002922421,0.0006500638,0.2201812,0.0006629362,0.000583808,0.0001673995,0.0008689942,0.0004164648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868837,"about_ca_system_score_gemma":0.000229495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004525442,"about_ca_topic_score_gemma":0.00006605172,"domain_scores_codex":[0.9941514,0.0009797488,0.001453902,0.0006297084,0.001772395,0.00101291],"domain_scores_gemma":[0.9967007,0.001658364,0.0006297495,0.0004035561,0.0002845041,0.0003231145],"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":[0.00003545364,0.0001708765,0.04354463,0.002175773,0.00143413,0.0000408733,0.1986782,0.00001464629,0.0003092544,0.02832421,0.5218504,0.2034215],"study_design_scores_gemma":[0.0007241039,0.0000697097,0.1448544,0.002577596,0.004882327,0.000003637737,0.02791782,0.0006475822,0.0001373203,0.006421141,0.8103844,0.001379962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.606957,0.3375289,0.003919796,0.03017961,0.003232718,0.002347362,0.0007232349,0.001500094,0.01361126],"genre_scores_gemma":[0.6568597,0.3392917,0.00001812669,0.002500264,0.0008269273,0.00005639512,0.0001189983,0.00002537938,0.0003025296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288534,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08845341879797962,"score_gpt":0.4172664679963477,"score_spread":0.3288130491983681,"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."}}