{"id":"W2356874510","doi":"10.5430/ijfr.v7n3p1","title":"A Critical Analysis of the Value Chain in the Rice Industry and Its Effects on the Export Rice Industry in Kien Giang Province, Vietnam","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Business; Value chain; Regression analysis; Chain (unit); Value (mathematics); Agricultural science; Agricultural economics; Marketing; Economics; Mathematics; Supply chain; Statistics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003271863,0.00008978161,0.0001750155,0.0006017659,0.00009049522,0.0001224576,0.0009934042,0.0001889301,0.00002606079],"category_scores_gemma":[0.00522706,0.00004110523,0.00009551064,0.001406216,0.0001335914,0.000392275,0.0002298009,0.001411718,0.000004907538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009791927,"about_ca_system_score_gemma":0.000202351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332282,"about_ca_topic_score_gemma":0.00009882089,"domain_scores_codex":[0.9977555,0.0002325682,0.0003394454,0.0001373329,0.00130468,0.0002304387],"domain_scores_gemma":[0.9977016,0.001330844,0.0001719768,0.0001260904,0.0006545504,0.0000148752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005627627,0.0006054168,0.4753315,0.000102671,0.00021549,0.0005877045,0.0002897307,0.00008206732,0.003220239,0.5014991,0.0008198747,0.01668341],"study_design_scores_gemma":[0.0004099838,0.00003432976,0.9939122,0.0005619625,0.00003345768,0.000007599866,0.000140571,0.0001691491,0.0003749735,0.002341705,0.001959115,0.00005496843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727625,0.00007572658,0.00001340542,0.02418689,0.0001979641,0.0001698784,0.000006311443,0.000001488374,0.002585814],"genre_scores_gemma":[0.9982192,0.00001719888,0.000002481436,0.001106028,0.0005709733,0.00001318645,3.83929e-7,0.000004780803,0.00006577474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5185806,"threshold_uncertainty_score":0.6257656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325208991126943,"score_gpt":0.3387567379822727,"score_spread":0.2955046480710032,"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."}}