{"id":"W3019750682","doi":"10.35502/jcswb.118","title":"A look in the back yard: Mitigating home-grown extremism in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Legitimacy; Terrorism; Environmentalism; Government (linguistics); Yard; Argument (complex analysis); Political economy; Political science; Social control; Conservatism; Sociology; Environmental ethics; Politics; Public administration; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002197209,0.0001161597,0.0002844518,0.00005015134,0.0004752307,0.00006910309,0.0006646349,0.00006799241,0.00007795631],"category_scores_gemma":[0.0003035605,0.00009215449,0.00006182132,0.0002742501,0.0001605538,0.0003008875,0.00008121393,0.001425308,0.00000307848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460977,"about_ca_system_score_gemma":0.0006345387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5773552,"about_ca_topic_score_gemma":0.7039118,"domain_scores_codex":[0.9969593,0.001658676,0.0005558011,0.00006479768,0.000412734,0.0003487063],"domain_scores_gemma":[0.9981138,0.00128983,0.0001955947,0.00013931,0.00005897096,0.0002025516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001273525,0.00006947574,0.1002273,0.00007982523,0.00002036893,0.0001336346,0.885181,0.0001001265,0.00003559559,0.001194499,0.0008171602,0.01201373],"study_design_scores_gemma":[0.0008306316,0.0001041303,0.11239,0.0005302015,0.00001787269,0.00002834773,0.8665044,0.000257719,0.00002229471,0.004825999,0.01427663,0.000211701],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576378,0.0002299593,0.0001018435,0.02847556,0.0001545615,0.00008351403,0.000001858668,0.000003789082,0.01331105],"genre_scores_gemma":[0.9934196,0.0006019921,0.00002172249,0.005705537,0.000223562,5.833143e-7,7.443738e-7,0.00000616026,0.00002002741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1265566,"threshold_uncertainty_score":0.6192335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030613422408479,"score_gpt":0.2649038927040216,"score_spread":0.2445977584799368,"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."}}