{"id":"W4389687355","doi":"10.55606/eksekusi.v2i1.789","title":"Implementasi Artificial Intelligence (AI) Dalam Pembentukan Peraturan Perundang-Undangan Di Indonesia","year":2023,"lang":"en","type":"article","venue":"Eksekusi Jurnal Ilmu Hukum dan Administrasi Negara","topic":"Legal and Policy Analysis in Indonesia","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; European union; Statutory law; Political science; Law; Business; Artificial intelligence; Law and economics; Computer science; Sociology; International trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002416188,0.0001953673,0.0001592754,0.0005910196,0.001619127,0.00552723,0.00051307,0.0007174716,0.004564863],"category_scores_gemma":[0.00220922,0.0001558263,0.0001537208,0.001062388,0.002380925,0.001907011,0.001693467,0.001754325,0.0006325488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003761518,"about_ca_system_score_gemma":0.006299461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004030843,"about_ca_topic_score_gemma":0.005874223,"domain_scores_codex":[0.9982021,0.001023786,0.0001031437,0.0001752008,0.0003486307,0.0001470925],"domain_scores_gemma":[0.9984314,0.0008553283,0.0002364383,0.0001289171,0.0002239704,0.0001237988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005396518,0.000489757,0.02380096,0.0006912407,0.00004248998,0.001215051,0.01630729,0.002454862,0.002093537,0.6959003,0.009900035,0.2470504],"study_design_scores_gemma":[0.00004160214,0.0002937544,0.06244357,0.001669779,0.00008071963,0.001143297,0.03250698,0.009144619,0.007136696,0.1528337,0.7326277,0.00007763798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2443155,0.006760978,0.02695213,0.03075862,0.0002124641,0.0004949893,0.0003023294,0.0001993809,0.6900036],"genre_scores_gemma":[0.9179423,0.006653392,0.02167359,0.001475402,0.00004588973,0.0003994606,0.0001294012,0.00004291404,0.05163765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00552723,"threshold_uncertainty_score":0.02729183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05571028132919968,"score_gpt":0.3804829133780307,"score_spread":0.324772632048831,"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."}}