{"id":"W2122017231","doi":"10.5539/ijef.v6n2p218","title":"Competitiveness Model and Gap Analysis of Indonesian Palm Oil-Based Fatty Acid and Fatty Alcohol Industry","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Palm oil; Government (linguistics); Indonesian government; Business; Petroleum industry; Fatty acid; Fatty alcohol; Ideal (ethics); Marketing; Industrial organization; Food science; Chemistry; Engineering; Political science; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001402657,0.0004081634,0.0003628368,0.003561659,0.0005590618,0.002326868,0.0007047827,0.0006656449,0.004013216],"category_scores_gemma":[0.001867196,0.0001108915,0.0009553127,0.002027852,0.0006324144,0.001609694,0.001326064,0.0005047957,0.000299652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002693302,"about_ca_system_score_gemma":0.00188399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008195705,"about_ca_topic_score_gemma":0.004347677,"domain_scores_codex":[0.9992784,0.0002217735,0.00004440355,0.0001255661,0.0001765644,0.0001533236],"domain_scores_gemma":[0.9992939,0.0003507202,0.0001136927,0.00002664507,0.0001491561,0.00006586849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004524658,0.0006726292,0.266604,0.0007871572,0.0002650018,0.001855888,0.003910938,0.2829549,0.002635428,0.3238237,0.007290297,0.1087477],"study_design_scores_gemma":[0.000045046,0.0003902502,0.1416057,0.0001946608,0.0001549373,0.0006097195,0.01052219,0.7584856,0.001242181,0.07459679,0.012081,0.00007185265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860944,0.0008346091,0.03561894,0.001122823,0.00004001045,0.0001473541,0.0007594244,0.00009458601,0.07528789],"genre_scores_gemma":[0.9962763,0.0001602355,0.00226956,0.00001626699,0.000004243084,0.00005754182,0.000214204,0.000005386193,0.0009961645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008195705,"threshold_uncertainty_score":0.01954132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470319266230948,"score_gpt":0.23301031427777,"score_spread":0.2083071216154605,"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."}}