{"id":"W4409643941","doi":"10.63544/ijss.v2i4.67","title":"Building Community Resilience for Countering the Lure of Extremism","year":2023,"lang":"en","type":"article","venue":"Inverge Journal of Social Sciences","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Violent extremism; Criminology; Community resilience; Political science; Computer security; Environmental planning; Psychology; Law; Environmental science; Engineering; Computer science; Terrorism","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007167325,0.00009808466,0.0002390737,0.0001249091,0.002582296,0.0001057283,0.001406498,0.00009070818,0.00003443745],"category_scores_gemma":[0.001111345,0.00006833037,0.0001913203,0.0009074003,0.002209354,0.0004884612,0.00009655875,0.0003232081,0.000003257428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009518753,"about_ca_system_score_gemma":0.0004222729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180784,"about_ca_topic_score_gemma":0.000469231,"domain_scores_codex":[0.9976051,0.0004625196,0.0004732895,0.0001036304,0.0008841975,0.0004713025],"domain_scores_gemma":[0.9978639,0.00115759,0.0004639401,0.00009706169,0.0003218451,0.0000956789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001222056,0.000193032,0.01438225,0.0001651273,0.00009140217,0.00001140748,0.830459,0.000198258,0.01344861,0.07464388,0.03982614,0.02645869],"study_design_scores_gemma":[0.0005056751,0.0004433178,0.02278689,0.0004035735,0.00006575869,0.000009647422,0.8611737,0.0006376849,0.001060446,0.05336751,0.05921194,0.0003338526],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897316,0.0001228183,0.0009294965,0.005981521,0.001534184,0.0001293603,0.00001351673,0.0000252907,0.001532262],"genre_scores_gemma":[0.9984545,0.0001265464,0.0001141759,0.0003024906,0.0008632341,0.00000391928,1.759708e-7,0.000005366876,0.0001295703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03071471,"threshold_uncertainty_score":0.9987162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027098339629819,"score_gpt":0.4191319829906332,"score_spread":0.3164221490276513,"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."}}