{"id":"W1488430317","doi":"10.22004/ag.econ.58894","title":"What impact has food price inflation had on consumer welfare: a global analysis","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Per capita; Welfare; Inflation (cosmology); Food prices; Econometrics; Per capita income; Agricultural economics; Food security; Agriculture; Geography; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038908,0.000437931,0.0005317331,0.001543244,0.0001957579,0.0008518858,0.0002127417,0.0003741072,0.002338812],"category_scores_gemma":[0.001797027,0.0001534014,0.001615897,0.00309355,0.0007029956,0.001062092,0.0009434759,0.0005176676,0.0001917914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006915708,"about_ca_system_score_gemma":0.0001529934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687879,"about_ca_topic_score_gemma":0.002662272,"domain_scores_codex":[0.9997438,0.000111154,0.000007873999,0.00004754697,0.00003577838,0.00005385769],"domain_scores_gemma":[0.9987344,0.0006001779,0.0003306563,0.00008435568,0.0001744259,0.0000760176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00150869,0.0002162057,0.7980813,0.0007811673,0.00212827,0.001514699,0.001311406,0.05116676,0.002839484,0.02226745,0.007752679,0.1104318],"study_design_scores_gemma":[0.00002928531,0.0005340439,0.9557694,0.0001118821,0.000591211,0.000627537,0.001489251,0.02356852,0.0008454739,0.01083186,0.005556613,0.00004488452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828455,0.002857784,0.00273983,0.001214992,0.00003202404,0.00001728573,0.001525253,0.00002870381,0.008738565],"genre_scores_gemma":[0.9970707,0.001205715,0.0004294324,0.00008467581,0.00003252405,0.000007428514,0.0006743153,0.00001148088,0.0004837433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002687879,"threshold_uncertainty_score":0.007824063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929888318433129,"score_gpt":0.2946369061468455,"score_spread":0.2553380229625142,"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."}}