{"id":"W1547226989","doi":"","title":"PENDEKATAN DERADIKALISASI DAN PERAN PEMERINTAH DAERAH DALAM MENDUKUNG PROGRAM PEMOLISIAN MASAYARAKAT GUNA MENCEGAH PENGARUH TERORISME DI DAERAH","year":2014,"lang":"id","type":"article","venue":"Jurnal NESTOR Magister Hukum","topic":"Legal and Social Justice Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Mindset; Dignity; Law enforcement; Community policing; Political science; Law; Torture; Rule of law; Government (linguistics); Human rights; Sociology; Public administration; Politics","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":[0.001257602,0.0005314458,0.0004846236,0.0007320055,0.002468146,0.003620772,0.001082247,0.0009697506,0.0548169],"category_scores_gemma":[0.001778159,0.0003548563,0.0005520163,0.0007495186,0.0007901113,0.002681209,0.002406699,0.002289352,0.008322497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395428,"about_ca_system_score_gemma":0.006149275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003602718,"about_ca_topic_score_gemma":0.005776425,"domain_scores_codex":[0.9990034,0.0002084653,0.00006477011,0.0001708038,0.00030396,0.0002486411],"domain_scores_gemma":[0.9987077,0.0002513033,0.0001229261,0.00009678632,0.0004727286,0.0003484698],"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":[0.001164524,0.00286469,0.02077392,0.004370964,0.0001330643,0.002128226,0.01437526,0.003696325,0.01436151,0.1058836,0.07734931,0.7528985],"study_design_scores_gemma":[0.0001844044,0.001030326,0.0293543,0.001743248,0.0002294266,0.001265654,0.02080419,0.003336536,0.01637662,0.02331837,0.9022207,0.0001362325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3602418,0.01335807,0.03239479,0.02131617,0.002686709,0.001725741,0.001537968,0.001545309,0.5651935],"genre_scores_gemma":[0.6723241,0.009767798,0.02286308,0.002018659,0.0002846054,0.00092271,0.001039918,0.0003659979,0.2904131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0548169,"threshold_uncertainty_score":0.1833808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439871761226276,"score_gpt":0.3054208180447584,"score_spread":0.2810221004324956,"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."}}