{"id":"W3204307397","doi":"10.56354/jendelainovasi.v4i2.103","title":"DEGRADASI FUNGSI LEGISLASI DPRD DALAM SENTRALISASI KEBIJAKAN PENETAPAN RENCANA TATA RUANG WILAYAH DI KABUPATEN/KOTA","year":2021,"lang":"en","type":"article","venue":"Jurnal Jendela Inovasi Daerah","topic":"Legal Studies and Policies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Work (physics); Legislature; Statutory law; Spatial planning; Political science; Government (linguistics); Function (biology); Public administration; Normative; Status quo; Law; Geography; Environmental planning","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":[0.003248546,0.0002080413,0.000243043,0.000809044,0.004608714,0.006162715,0.0008150964,0.001297045,0.01337781],"category_scores_gemma":[0.003430975,0.0003641137,0.0002202871,0.0008971837,0.003072326,0.002055185,0.002183247,0.002611103,0.002132656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005873338,"about_ca_system_score_gemma":0.01365587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417237,"about_ca_topic_score_gemma":0.02657105,"domain_scores_codex":[0.9972747,0.0005100835,0.0001874055,0.000526454,0.0009742178,0.0005271035],"domain_scores_gemma":[0.9979154,0.0006399149,0.0002533296,0.00024675,0.0006796782,0.0002649312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005141461,0.0001766617,0.007184654,0.0002474517,0.00001548013,0.0007888729,0.01774918,0.0007313399,0.003984615,0.8937373,0.01503253,0.06030069],"study_design_scores_gemma":[0.00002045496,0.0001058961,0.01986775,0.0003746178,0.00003228936,0.0005081053,0.01253144,0.0009081906,0.004674695,0.02777535,0.9331412,0.00006005479],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2607341,0.004196795,0.01082367,0.01409622,0.0006364665,0.0003980086,0.0005033309,0.0002285338,0.7083829],"genre_scores_gemma":[0.7606573,0.002034365,0.006280427,0.001724084,0.0001022069,0.0002605658,0.0002510641,0.00006656053,0.2286235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01417237,"threshold_uncertainty_score":0.04475325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223817557868242,"score_gpt":0.3080808255816077,"score_spread":0.2658426500029252,"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."}}