{"id":"W4383033114","doi":"10.1111/agec.12786","title":"Separability, spillovers, and segmented markets : Evidence from dairy in India","year":2023,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Multiple Sclerosis Scientific Research Foundation; Bill and Melinda Gates Foundation","keywords":"Consumption (sociology); Production (economics); Economics; Uncorrelated; Market segmentation; Value (mathematics); Microeconomics; Dairy industry; Business; Agricultural economics; Food science","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":[0.001003894,0.0001721746,0.0003954528,0.001439278,0.0006211924,0.00110144,0.0006181343,0.0003257571,0.003902404],"category_scores_gemma":[0.003767011,0.0002232531,0.0004591032,0.002844348,0.001415445,0.0005633764,0.001514297,0.0005359902,0.0002438466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005614702,"about_ca_system_score_gemma":0.0005670843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06521206,"about_ca_topic_score_gemma":0.05216652,"domain_scores_codex":[0.9993038,0.0002746318,0.00003690318,0.0001009688,0.00009894696,0.0001846428],"domain_scores_gemma":[0.9894916,0.005816512,0.003116312,0.0006885575,0.0005311756,0.0003559335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003768145,0.0002244339,0.9813597,0.0001599886,0.0003178659,0.0005505934,0.001794247,0.001907235,0.0004222057,0.003486256,0.0008343426,0.008566267],"study_design_scores_gemma":[0.00002745002,0.00007930824,0.9902393,0.00004306112,0.000128707,0.0001170583,0.004471156,0.001762428,0.0003310999,0.001646935,0.001137341,0.00001619042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968156,0.0002217502,0.0003102313,0.0001990011,0.000001708338,0.000009164803,0.0004128457,0.000006103632,0.002023706],"genre_scores_gemma":[0.9994861,0.0001087716,0.00006358216,0.00002297962,0.000003598357,0.000002971688,0.0001709266,9.968501e-7,0.0001401066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06521206,"threshold_uncertainty_score":0.129665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329537127414755,"score_gpt":0.2064650269108993,"score_spread":0.1831696556367517,"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."}}