{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008256751,0.0005222856,0.000698163,0.0001539375,0.002132152,0.00075921,0.0009350586,0.0002954744,0.0004691016],"category_scores_gemma":[0.0004426223,0.0004934607,0.0004517622,0.00123312,0.0006806916,0.00078833,0.0004089053,0.0008111557,0.0001261706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421347,"about_ca_system_score_gemma":0.001014687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01684761,"about_ca_topic_score_gemma":0.05053791,"domain_scores_codex":[0.9949098,0.0004678761,0.0008036639,0.0007937201,0.001409699,0.00161526],"domain_scores_gemma":[0.997532,0.0002827949,0.0003356287,0.0007093892,0.0005176293,0.0006226298],"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":[0.0001675316,0.0008910063,0.4049495,0.0001582227,0.001690548,0.002069787,0.08772497,0.0001697219,0.00299094,0.3666797,0.07761812,0.05488996],"study_design_scores_gemma":[0.0008743232,0.0001175687,0.1063008,0.0001083782,0.0001979736,0.0001158679,0.01411863,0.00004830036,0.001117555,0.0007732324,0.8753421,0.0008853358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719337,0.003608988,0.00004423938,0.01289078,0.002396054,0.0003525465,0.0001095283,0.0002286148,0.2084355],"genre_scores_gemma":[0.9804156,0.002771517,0.0002272179,0.001254471,0.002362153,0.00002982215,0.00008069952,0.00006340671,0.01279514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977239,"threshold_uncertainty_score":0.9997517,"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."}}