{"id":"W2019363925","doi":"10.1017/s1368980009993260","title":"Fresh market to supermarket: nutrition transition insights from Chiang Mai, Thailand","year":2010,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mount Allison University; University of Sydney","keywords":"Chiang mai; Thais; Food market; Business; Nutrition transition; Kuala lumpur; Fresh food; Advertising; Marketing; Socioeconomics; Geography; Food science; Demography; Medicine; Economics; Obesity; Biology; Sociology; Overweight","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002339374,0.0001828927,0.0001269801,0.0006143706,0.001333149,0.001140591,0.0001967283,0.0002381413,0.004656184],"category_scores_gemma":[0.0005839752,0.0001786748,0.0001342421,0.001850839,0.0004892349,0.0006470744,0.0007374244,0.0003618856,0.0002429269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007326793,"about_ca_system_score_gemma":0.0009684233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05718591,"about_ca_topic_score_gemma":0.1399973,"domain_scores_codex":[0.9999012,0.00003098642,0.000007204534,0.00001422109,0.00001388969,0.00003254479],"domain_scores_gemma":[0.9995752,0.0001036565,0.0001160509,0.000008618679,0.00004254928,0.0001539623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003508274,0.000278308,0.7252713,0.0003887063,0.00002970138,0.005119952,0.246053,0.0001194737,0.002768946,0.0002833184,0.0008673562,0.01846911],"study_design_scores_gemma":[0.000009825524,0.0001557394,0.7544036,0.00005833271,0.00001563009,0.0007262611,0.2420329,0.0001218323,0.0002284835,0.00007755004,0.002157212,0.00001262211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989378,0.00005395992,0.00001835085,0.00005094683,0.000001089618,0.000005910113,0.000072764,6.067576e-7,0.0008585984],"genre_scores_gemma":[0.9988996,0.0002291347,0.0000484077,0.00003969212,0.000002372928,0.00001468929,0.0001249863,0.000001854164,0.0006393038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05718591,"threshold_uncertainty_score":0.1137061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601507259709895,"score_gpt":0.2548456350694855,"score_spread":0.2288305624723865,"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."}}