{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002385165,0.001534776,0.001813151,0.0002985963,0.004977816,0.002359753,0.002181364,0.0006952479,0.0004559797],"category_scores_gemma":[0.0006967062,0.001438623,0.000960039,0.001028457,0.002589141,0.001974578,0.000750285,0.002094466,0.0003104602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009844601,"about_ca_system_score_gemma":0.0006503594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653644,"about_ca_topic_score_gemma":0.008402237,"domain_scores_codex":[0.9884784,0.002101969,0.00177741,0.001967396,0.002777524,0.002897338],"domain_scores_gemma":[0.9951041,0.0005599743,0.001011252,0.001191656,0.0006847403,0.001448331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008926761,0.005704692,0.2135228,0.002553612,0.002191954,0.001288122,0.4661919,0.00002527659,0.003501943,0.113667,0.03293516,0.1575249],"study_design_scores_gemma":[0.002359967,0.001325322,0.1071815,0.000428742,0.001094868,0.0001047619,0.04007443,0.0003126393,0.0001078992,0.0006316135,0.8439689,0.002409387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5600734,0.003067338,0.0003295835,0.03433681,0.01962264,0.00402909,0.00008825883,0.001133535,0.3773193],"genre_scores_gemma":[0.9435348,0.0008491133,0.0006001735,0.001653907,0.008962386,0.0002231883,0.00007952763,0.0002123138,0.04388462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8110337,"threshold_uncertainty_score":0.9997401,"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."}}