{"id":"W3021619323","doi":"10.20527/ecoplan.v3i1.52","title":"Analisis Pengembangan Ekspor Kayu Manis Indonesia","year":2020,"lang":"en","type":"article","venue":"Ecoplan","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Pretoria","keywords":"Per capita; Business; Population; Agricultural economics; Agricultural science; International trade; Geography; Economics; Environmental science; Environmental health","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":[0.001807742,0.0008654675,0.0006608634,0.003137059,0.0008402517,0.003047351,0.0004482598,0.0004196461,0.02350646],"category_scores_gemma":[0.003537284,0.00019423,0.0008109285,0.00357226,0.0006153745,0.001291436,0.0009657536,0.001005439,0.004562314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008941678,"about_ca_system_score_gemma":0.00125478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00854156,"about_ca_topic_score_gemma":0.006441993,"domain_scores_codex":[0.9984038,0.0003102706,0.0002039394,0.0001697273,0.0007367101,0.0001754956],"domain_scores_gemma":[0.9964535,0.001428964,0.0004189152,0.000140667,0.001433926,0.0001240492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00078698,0.0006725814,0.4862317,0.002637597,0.0005031074,0.005664025,0.01280505,0.003589469,0.007371447,0.009654956,0.05925085,0.4108323],"study_design_scores_gemma":[0.00002362785,0.0003210499,0.7760173,0.001103418,0.00032617,0.002552696,0.08490691,0.007294034,0.007495188,0.004121844,0.1156903,0.0001475646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348212,0.005327318,0.01022554,0.002578159,0.0005445232,0.0005469038,0.01341562,0.0006951599,0.1318456],"genre_scores_gemma":[0.947808,0.003380606,0.006048521,0.0002328475,0.00007083164,0.0002607308,0.004483517,0.000126519,0.03758841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02350646,"threshold_uncertainty_score":0.07863694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517257742202833,"score_gpt":0.2036213751460796,"score_spread":0.1784487977240513,"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."}}