{"id":"W1737769381","doi":"","title":"Understanding Food Inflation in India","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Food prices; Economics; Core inflation; Food security; Quarter (Canadian coin); Population; Shock (circulatory); Agriculture; Agricultural economics; Monetary economics; Monetary policy; Inflation targeting; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001918588,0.000249598,0.0004120471,0.0001157974,0.0001642409,0.0003030831,0.0005512577,0.0005252819,0.000174998],"category_scores_gemma":[0.0002427799,0.0001227267,0.0001200748,0.0001810585,0.0001010043,0.0002212764,0.0006616218,0.001411605,0.00001737622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034651,"about_ca_system_score_gemma":0.00006027785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00020429,"about_ca_topic_score_gemma":0.006462365,"domain_scores_codex":[0.9976137,0.0003219193,0.0005845212,0.0007265161,0.0001522088,0.0006011779],"domain_scores_gemma":[0.9981739,0.001210737,0.0002917396,0.0001535349,0.00003864769,0.0001314296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000373971,0.000450851,0.2487498,0.0002394483,0.0001968277,0.00003573105,0.001108686,0.02424961,0.004109604,0.01805725,0.0002719653,0.7021562],"study_design_scores_gemma":[0.0005882136,0.0005853001,0.8906448,0.0003760882,0.00001067146,0.00001011713,0.003453966,0.01170566,0.0001858377,0.04043436,0.05073111,0.001273904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251417,0.00005364937,3.178736e-7,0.0008968688,0.0002286989,0.0004800701,0.00003914355,0.00002341256,0.07313617],"genre_scores_gemma":[0.9961308,0.002932303,0.00004440909,0.00008547794,0.0003716491,0.0000804399,0.000178596,0.000003265656,0.0001730552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7008823,"threshold_uncertainty_score":0.6132801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184266703463732,"score_gpt":0.3014265340712116,"score_spread":0.1829998637248383,"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."}}