{"id":"W2007921909","doi":"10.1016/j.appet.2012.04.003","title":"Culturally appropriate vegetables and economic development. A contextual analysis","year":2012,"lang":"en","type":"article","venue":"Appetite","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Guelph","funders":"","keywords":"Incentive; Demographics; Agriculture; Government (linguistics); Business; Consumer demand; Public economics; Quality (philosophy); Perception; Conceptual framework; Value (mathematics); Marketing; Economics; Economic growth; Geography; Psychology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001306338,0.0001333467,0.00018262,0.00001027317,0.0001686769,0.00006983739,0.0001139549,0.00007292894,0.0003983778],"category_scores_gemma":[0.000006919082,0.00004219728,0.00006678257,0.0002104077,0.00003252998,0.0002026076,0.00007168191,0.0000669969,0.0001953886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001815787,"about_ca_system_score_gemma":0.00000403899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008774432,"about_ca_topic_score_gemma":0.0008381541,"domain_scores_codex":[0.9992521,0.00002513118,0.000154773,0.0001925857,0.00007893315,0.0002964747],"domain_scores_gemma":[0.9997146,0.00003876069,0.00006032464,0.00003181951,0.0000152259,0.0001392953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004762601,0.0002737894,0.2963,0.00003795505,0.001402941,0.000003801353,0.003058037,0.000007767207,0.5260369,0.006522309,0.004387416,0.1619215],"study_design_scores_gemma":[0.0001113925,0.00003204638,0.7202387,0.00001652621,0.00007937028,0.000008376636,0.000544532,0.000009939765,0.005090635,0.00002693829,0.2735776,0.0002638952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967456,0.0009696473,0.000001848921,0.0008279645,0.00007292261,0.00007966947,0.00001437984,0.00005517351,0.001232824],"genre_scores_gemma":[0.9982256,0.00007144868,0.0001883654,0.0001452545,0.0003334173,0.000006852873,0.00007970609,6.271774e-7,0.0009487865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5209462,"threshold_uncertainty_score":0.4361957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009435365473257084,"score_gpt":0.1886034409517643,"score_spread":0.1791680754785073,"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."}}