{"id":"W4317914327","doi":"10.33701/jiwbp.v12i2.2678","title":"OPTIMALISASI PERAN KELEMBAGAAN PERENCANAAN SUMBER DAYA ALAM DALAM PENANGANAN PERMASALAHAN PENANAMAN MODAL","year":2023,"lang":"id","type":"article","venue":"Jurnal Ilmiah Wahana Bhakti Praja","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Tenaga Nasional Berhad","keywords":"Humanities; Political science; Philosophy","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","insufficient_payload"],"category_scores_codex":[0.001999962,0.001624705,0.002565678,0.001914499,0.001450443,0.001274151,0.002216552,0.001139633,0.001227831],"category_scores_gemma":[0.0004451726,0.001923476,0.001484192,0.001828047,0.0007707237,0.001788691,0.0009111912,0.002111792,0.008680422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009426853,"about_ca_system_score_gemma":0.0004588885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408829,"about_ca_topic_score_gemma":0.002628729,"domain_scores_codex":[0.9900072,0.0002474273,0.003320611,0.002481024,0.0004012992,0.003542395],"domain_scores_gemma":[0.9941499,0.0003037342,0.001660614,0.001950832,0.000220736,0.001714173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002772127,0.0008530624,0.7993708,0.0008038205,0.001580048,0.000604185,0.01225387,0.0008007839,0.0005000624,0.1099134,0.06986353,0.003179254],"study_design_scores_gemma":[0.004229152,0.0009061344,0.6998718,0.0002533805,0.0002888582,0.0002051115,0.003430624,0.01762412,0.0003920504,0.003120073,0.2658295,0.003849216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699222,0.002662314,0.00005159535,0.008806229,0.003586166,0.001072596,0.001292461,0.0004135298,0.1121929],"genre_scores_gemma":[0.9339261,0.002997837,0.00009112486,0.001097511,0.00226458,0.0001420731,0.000783168,0.000411674,0.05828593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1959659,"threshold_uncertainty_score":0.9998496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939145113440257,"score_gpt":0.2445469597030406,"score_spread":0.205155508568638,"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."}}