{"id":"W206675796","doi":"","title":"Detect, Disrupt, and Detain: Local Law Enforcement's Critical Roles in Combating Homegrown Extremism and the Evolving Terrorist Threat","year":2016,"lang":"en","type":"article","venue":"","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Radicalization; Law enforcement; Law; Statute; Political science; Al qaeda; Homeland security; Criminology; Sociology","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":[0.002410184,0.0003275634,0.0001842685,0.0009574627,0.007691428,0.00782254,0.0009611177,0.002079977,0.01254337],"category_scores_gemma":[0.004687445,0.0002683347,0.0002069769,0.0009679045,0.005068775,0.003015963,0.00370041,0.002101029,0.001552018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004493704,"about_ca_system_score_gemma":0.004475179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015075,"about_ca_topic_score_gemma":0.03298723,"domain_scores_codex":[0.9984128,0.0007949912,0.00004849059,0.0001125023,0.0002690457,0.0003621355],"domain_scores_gemma":[0.9977581,0.0009125892,0.0004152867,0.0001027447,0.0003485993,0.0004626782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001437412,0.0003970057,0.03642734,0.001254764,0.00002712367,0.007599726,0.280257,0.001109922,0.002277273,0.08088199,0.2374829,0.3521411],"study_design_scores_gemma":[0.00001517194,0.0002017881,0.03814317,0.001852645,0.00002440979,0.002153563,0.6097512,0.000887277,0.000875774,0.008393522,0.3376232,0.00007826948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4003465,0.02078566,0.007211644,0.1858215,0.001583132,0.0005415745,0.0002336751,0.0005687827,0.3829075],"genre_scores_gemma":[0.9467838,0.005362573,0.001920471,0.006355172,0.0003401298,0.0001148518,0.00007297014,0.0000472801,0.03900274],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02015075,"threshold_uncertainty_score":0.04196179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247453991897558,"score_gpt":0.2726516367073712,"score_spread":0.2601770967883957,"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."}}