{"id":"W2607491063","doi":"10.19165/2017.1.01","title":"Sketch of a Social Ecology Model for Explaining Homegrown Terrorist Radicalisation","year":2017,"lang":"en","type":"article","venue":"Terrorism and Counter-Terrorism Studies","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sketch; Terrorism; Social ecology; Ecology; Geography; Political science; Computer science; Biology; Archaeology","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","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001777853,0.0005992857,0.001244809,0.0002456528,0.004153055,0.000272304,0.001114318,0.0004986976,0.00003980567],"category_scores_gemma":[0.0008407679,0.0005745018,0.0003531013,0.0001119428,0.003175622,0.001062866,0.0004081535,0.0003946072,0.000009211351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601985,"about_ca_system_score_gemma":0.0002610173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008277835,"about_ca_topic_score_gemma":0.002097911,"domain_scores_codex":[0.995725,0.0002527595,0.001068034,0.0009238357,0.0007552819,0.0012751],"domain_scores_gemma":[0.9969629,0.0004835671,0.0009627359,0.0007335994,0.000545039,0.0003121664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005721623,0.0003516194,0.008633105,0.0005315291,0.0005650852,0.00002719388,0.9524733,0.000008451927,0.0002639408,0.008106217,0.009558719,0.01890868],"study_design_scores_gemma":[0.005736442,0.001201232,0.03411149,0.0005918029,0.0008005402,0.0000189312,0.8950662,0.01755347,0.0002191301,0.02445646,0.01804273,0.002201562],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980915,0.000859735,0.004658092,0.008278061,0.002415445,0.000979136,0.0002381151,0.0001811177,0.001475336],"genre_scores_gemma":[0.9950396,0.0008404488,0.0002421121,0.0005486769,0.001380828,0.0003719683,0.00002419297,0.00006454375,0.001487563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05740708,"threshold_uncertainty_score":0.9996706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103066590782104,"score_gpt":0.4183194472274483,"score_spread":0.3152528564453444,"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."}}