{"id":"W3213284516","doi":"10.5267/j.uscm.2021.9.005","title":"The effect of supply chain finance on supply chain risk, supply chain risk resilience, and performance of Vietnam SMEs in global supply chain","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Supply chain risk management; Business; Demand chain; Supply chain management; Resilience (materials science); Service management; Finance; Industrial organization; Marketing","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":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.008350927,0.002119158,0.002440357,0.001693317,0.001637664,0.0007300994,0.002986969,0.0005588364,0.0004302598],"category_scores_gemma":[0.0009669524,0.001729315,0.0008186694,0.005149656,0.001442256,0.00129819,0.002420804,0.001394617,0.0001712248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006884677,"about_ca_system_score_gemma":0.0001937621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005438842,"about_ca_topic_score_gemma":0.004389266,"domain_scores_codex":[0.9864748,0.001196289,0.00304106,0.003119901,0.002987439,0.00318051],"domain_scores_gemma":[0.9923199,0.001543688,0.002346861,0.003097084,0.000474361,0.000218124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002715405,0.0008488179,0.8000663,0.00294012,0.0005807301,0.0005227701,0.0008587289,0.02951802,0.0001191539,0.02149616,0.01657414,0.1237596],"study_design_scores_gemma":[0.01526209,0.002659249,0.7159756,0.004068703,0.001140369,0.00003649254,0.01231783,0.1319659,0.002475738,0.00445496,0.105575,0.004068141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730442,0.00487767,0.0003614094,0.00551783,0.001542542,0.00615175,0.0005143075,0.0002831348,0.007707194],"genre_scores_gemma":[0.9724914,0.01787274,0.0007121876,0.001190663,0.0007624229,0.001263349,0.0004648084,0.0002074845,0.005034896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1196915,"threshold_uncertainty_score":0.999662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004971292355187389,"score_gpt":0.2211546279888466,"score_spread":0.2161833356336592,"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."}}