{"id":"W2918367492","doi":"10.25299/wedana.2018.vol4(2).2612","title":"IMPLEMENTASI PERATURAN MENTERI DALAM NEGERI NOMOR 56 TAHUN 2015 TENTANG KODE DAN DATA WILAYAH ADMINISTRASI PEMERINTAHAN (Studi Di Kabupaten Kampar Dan Kabupaten Rokan Hulu)","year":2018,"lang":"en","type":"article","venue":"WEDANA Jurnal Kajian Pemerintahan Politik dan Birokrasi","topic":"Public Administration in Developing Nations","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Government (linguistics); Research method; Bureaucracy; Research data; Political science; Sociology; Geography; Business; Library science; Law; Business administration; Computer 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":[0.003822437,0.0002044471,0.0002605705,0.0005579885,0.00214907,0.003603302,0.0005401482,0.0005390805,0.01179198],"category_scores_gemma":[0.003605019,0.0002885148,0.0002048465,0.001048701,0.0007925478,0.002034418,0.002160004,0.0008966612,0.001948444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00364831,"about_ca_system_score_gemma":0.008065504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343217,"about_ca_topic_score_gemma":0.02971336,"domain_scores_codex":[0.9981207,0.0006413875,0.0001176899,0.0001702861,0.0005640381,0.0003858738],"domain_scores_gemma":[0.9982721,0.0004805578,0.0002259111,0.0002214514,0.0004958679,0.0003041271],"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":[0.0006294025,0.00230176,0.2345508,0.001962394,0.0001319045,0.002003721,0.1407477,0.0008746472,0.006874363,0.06914919,0.04962888,0.4911453],"study_design_scores_gemma":[0.00004379481,0.0006928715,0.2880196,0.000816917,0.00009089307,0.0003812368,0.1647364,0.0005419501,0.005959447,0.002293596,0.5363562,0.00006707707],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894009,0.002296346,0.001056315,0.004736506,0.0001566948,0.0002864088,0.0006604102,0.00007623416,0.09672219],"genre_scores_gemma":[0.9459322,0.002070739,0.001884136,0.0005079823,0.00002201879,0.0002668703,0.0005647058,0.00002296779,0.04872838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343217,"threshold_uncertainty_score":0.03944808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08073187684615413,"score_gpt":0.3994465334937198,"score_spread":0.3187146566475657,"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."}}