{"id":"W4408170756","doi":"10.28924/2291-8639-23-2025-61","title":"Analyzing Food Purchasing Behavior Helps Improve Consumers' Health on E-Commerce Platforms in Viet Nam","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viet nam; Purchasing; Business; Marketing; E-commerce; Advertising; Computer science; Economics; Economy; World Wide Web","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":[0.0006259961,0.0001404461,0.0001152044,0.0005149377,0.0006374865,0.0008191305,0.0001639309,0.0002258046,0.001590344],"category_scores_gemma":[0.001244728,0.0001245094,0.0001747917,0.0009190176,0.0002105919,0.0004217425,0.0002809562,0.0001700992,0.0001074545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00081872,"about_ca_system_score_gemma":0.001165996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283524,"about_ca_topic_score_gemma":0.04089347,"domain_scores_codex":[0.9997866,0.0001073962,0.00001414167,0.00001762256,0.00002832479,0.00004584275],"domain_scores_gemma":[0.9994645,0.0002346685,0.0001089582,0.00001719204,0.00009805835,0.00007675577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354368,0.0004478967,0.9130459,0.000204304,0.00003777786,0.000415023,0.01364924,0.0002520466,0.00339399,0.0005334296,0.0006021446,0.06728271],"study_design_scores_gemma":[0.00001021309,0.000241481,0.9460573,0.0001131285,0.00003698861,0.0001415524,0.04733097,0.001443415,0.001442761,0.0003143474,0.002856596,0.00001120976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983976,0.00005211428,0.0001281099,0.0001308049,0.000001811549,0.0000147951,0.00006202739,0.000002184216,0.001210359],"genre_scores_gemma":[0.9987434,0.00008794532,0.0004881175,0.00004174509,0.000001237566,0.00002268557,0.00004690784,0.00000130563,0.000566737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283524,"threshold_uncertainty_score":0.04540467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115375803364838,"score_gpt":0.2983610245655121,"score_spread":0.2772072665318637,"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."}}