{"id":"W3013121208","doi":"10.31289/jiph.v9i2.8295","title":"Optimalisasi Penerapan Penyanderaan (Gijzeling) sebagai Upaya Penegakan Hukum (Law Enforcement) dalam Penerimaan Pajak (Studi Kasus Pelaksanaan Penyanderaan Di Kantor Wilayah Direktorat Jenderal Pajak Sumatera Utara I)","year":2022,"lang":"en","type":"article","venue":"Jurnal Ilmiah Penegakan Hukum","topic":"Local Governance and Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Taxpayer; Branch office; Revenue; Decree; Business; Law; Accounting; Public administration; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008714786,0.0003538594,0.0002417737,0.0005413344,0.002173596,0.004003895,0.0004707443,0.0005948951,0.02039218],"category_scores_gemma":[0.001691302,0.0002294595,0.0001765888,0.000801354,0.0009203395,0.001875899,0.001758502,0.001184667,0.003134505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002804404,"about_ca_system_score_gemma":0.006191617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225338,"about_ca_topic_score_gemma":0.02262564,"domain_scores_codex":[0.9991707,0.000147461,0.00006541955,0.0001896729,0.0002510113,0.0001758958],"domain_scores_gemma":[0.9992626,0.0001429508,0.0001522139,0.00005667676,0.0002475539,0.0001379928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002207112,0.0009698584,0.05377078,0.001677692,0.00005996196,0.0039129,0.01948497,0.003497934,0.00735518,0.1479938,0.07217761,0.6888785],"study_design_scores_gemma":[0.00002893536,0.0001641949,0.07650319,0.001199038,0.0000690731,0.001683862,0.02468141,0.002372888,0.00676913,0.01598116,0.8704854,0.0000616984],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4312474,0.02318986,0.01249486,0.0188959,0.001052103,0.0004708348,0.000804327,0.0004172284,0.5114275],"genre_scores_gemma":[0.8062196,0.01389215,0.01089254,0.000935061,0.0001015126,0.0001700348,0.0004037877,0.00009164381,0.1672937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02039218,"threshold_uncertainty_score":0.06821865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427711694642504,"score_gpt":0.2894000884289706,"score_spread":0.2651229714825456,"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."}}