{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002496644,0.001417956,0.001306554,0.0009100834,0.004266766,0.001818492,0.005335276,0.0005077516,0.001156338],"category_scores_gemma":[0.0007763854,0.001518042,0.0005513268,0.001928344,0.002713866,0.002864758,0.001616043,0.00115539,0.0002299124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859358,"about_ca_system_score_gemma":0.003360856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263345,"about_ca_topic_score_gemma":0.021218,"domain_scores_codex":[0.9876352,0.001199606,0.002557328,0.002559748,0.002717425,0.003330724],"domain_scores_gemma":[0.9920449,0.0002647861,0.001359312,0.003040983,0.0009755054,0.002314465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006170168,0.002423746,0.6725783,0.0003124847,0.002732006,0.0005897096,0.03435825,0.00000727413,0.009468762,0.1484049,0.1159195,0.01258815],"study_design_scores_gemma":[0.003213792,0.001079724,0.3001511,0.0003461159,0.0004049582,0.0003130529,0.02907204,0.0002606112,0.002553543,0.0004869897,0.6594707,0.002647338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965939,0.0003096428,0.0005701233,0.02776622,0.004704831,0.002743762,0.003038766,0.001252237,0.06302055],"genre_scores_gemma":[0.9850107,0.0002816539,0.001725378,0.001046817,0.005177145,0.0002307534,0.00297929,0.0002697724,0.003278441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5435512,"threshold_uncertainty_score":0.9999351,"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."}}