{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003140732,0.001710629,0.001896587,0.0004858226,0.009795617,0.002366271,0.003024379,0.0005065597,0.00440402],"category_scores_gemma":[0.0002190115,0.001745645,0.001054398,0.001515636,0.00113259,0.002698281,0.001858534,0.002129981,0.0001596342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003063192,"about_ca_system_score_gemma":0.002533569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412812,"about_ca_topic_score_gemma":0.01446013,"domain_scores_codex":[0.9845259,0.001557021,0.002456831,0.002476377,0.00520304,0.003780856],"domain_scores_gemma":[0.994334,0.0003775064,0.001383166,0.001492787,0.0006493899,0.001763089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003983558,0.005764334,0.2352909,0.0005484378,0.002702086,0.00351739,0.1146866,0.01925764,0.006735508,0.5605641,0.03253541,0.01441401],"study_design_scores_gemma":[0.007242233,0.00148997,0.02652133,0.0002181913,0.0004494497,0.0002562655,0.02867118,0.001532448,0.001978216,0.001701183,0.9253398,0.004599797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144485,0.002102732,0.0001873895,0.00486953,0.006468615,0.002656963,0.0001701253,0.000936811,0.1681593],"genre_scores_gemma":[0.9712133,0.0009586326,0.0005394749,0.002427546,0.002350813,0.0006380414,0.0004820304,0.00028076,0.0211094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8928043,"threshold_uncertainty_score":0.999564,"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."}}