{"id":"W7160514291","doi":"10.22004/ag.econ.400062","title":"Export Dynamics of Vinegar Preserved Gherkins from India: Markov Chain Approach","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markov chain; Index (typography); Supply chain; Agriculture; Production (economics); Export performance; Market share","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008456503,0.0002694044,0.0003378468,0.0009906613,0.0005650621,0.001211253,0.0006154238,0.0004935493,0.005848236],"category_scores_gemma":[0.002698653,0.0002868593,0.0007802247,0.0007245957,0.0005275782,0.0007134995,0.000723649,0.0007343146,0.0003387696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204722,"about_ca_system_score_gemma":0.00114866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04466463,"about_ca_topic_score_gemma":0.03338614,"domain_scores_codex":[0.9997813,0.000056031,0.00001237504,0.00005279884,0.00002671386,0.0000708159],"domain_scores_gemma":[0.998245,0.001175386,0.0002274367,0.00006021159,0.0001843651,0.0001076767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000222465,0.0001170394,0.1519299,0.00007880515,0.0001103551,0.0008646605,0.0006603799,0.8152925,0.001367185,0.01836165,0.001520342,0.009474751],"study_design_scores_gemma":[0.000009413276,0.00004927888,0.01497468,0.00002552747,0.00003632127,0.00009053967,0.0003852494,0.9792485,0.0002864392,0.004195337,0.0006722587,0.00002642598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813234,0.0001560186,0.01346667,0.0004467248,0.00001253851,0.00003425904,0.0007493014,0.00004037741,0.003770693],"genre_scores_gemma":[0.9948912,0.0001975168,0.001595465,0.00002590528,0.000005053205,0.00002867451,0.0007854081,0.00001196049,0.002458841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04466463,"threshold_uncertainty_score":0.08880931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094523234271161,"score_gpt":0.2034592982416593,"score_spread":0.1825140658989477,"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."}}