{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536216,0.0003048408,0.0001193586,0.002877284,0.002567323,0.001923554,0.0004857097,0.0001911581,0.002872893],"category_scores_gemma":[0.007156335,0.0001668511,0.0002781731,0.002111548,0.001871195,0.001178229,0.000966438,0.0005093456,0.00006925042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01051368,"about_ca_system_score_gemma":0.009834326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06400286,"about_ca_topic_score_gemma":0.05995811,"domain_scores_codex":[0.998593,0.0005513925,0.00006218703,0.0001129168,0.0003872821,0.0002933198],"domain_scores_gemma":[0.9887975,0.003659552,0.002071928,0.0001753957,0.004428536,0.0008669828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005560785,0.0003950806,0.7106181,0.001221125,0.0001449182,0.003588608,0.1255005,0.001957995,0.004869468,0.01698645,0.004667944,0.1294936],"study_design_scores_gemma":[0.00002744691,0.0005592216,0.6666901,0.0005649861,0.0001115799,0.0003880436,0.2929291,0.002824805,0.005866002,0.004465201,0.02552053,0.00005300449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883091,0.0003690089,0.0009042136,0.0009166897,0.00001605707,0.0001840501,0.00010533,0.000006338495,0.009189191],"genre_scores_gemma":[0.9983883,0.0001857559,0.0003636195,0.00002379281,0.000003135352,0.00002118244,0.00003468416,0.000001584706,0.0009779213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06400286,"threshold_uncertainty_score":0.1272607,"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."}}