{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005819793,0.0005300859,0.0003733238,0.0006178363,0.001753686,0.004663235,0.0006369262,0.0005732928,0.0441056],"category_scores_gemma":[0.0008797881,0.0003003431,0.0004009687,0.000790271,0.000727322,0.001503262,0.001872553,0.001107901,0.006454647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378196,"about_ca_system_score_gemma":0.00637682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470987,"about_ca_topic_score_gemma":0.08109149,"domain_scores_codex":[0.9994301,0.0001034591,0.00002364694,0.0001460579,0.0001669445,0.0001298826],"domain_scores_gemma":[0.9996252,0.00005278677,0.00003204835,0.00003233401,0.0001608812,0.000096716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009091457,0.001030969,0.04571475,0.001904221,0.0002098736,0.001336272,0.009845991,0.01327243,0.02442038,0.174021,0.07219702,0.6551381],"study_design_scores_gemma":[0.00004952803,0.0003013634,0.08501896,0.0006471897,0.0001336404,0.0004873444,0.01787349,0.006174032,0.008689316,0.02783776,0.8526859,0.000101491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2673819,0.004811295,0.01950055,0.006492555,0.0006612352,0.0002970537,0.002007006,0.0006195129,0.6982288],"genre_scores_gemma":[0.6705967,0.003469054,0.02154237,0.0007574657,0.00007552357,0.0002517576,0.001126243,0.0003290152,0.3018519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0441056,"threshold_uncertainty_score":0.1475479,"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."}}