{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000342416,0.0001264145,0.0003018331,0.00003825286,0.0001761495,0.0000235998,0.0006069242,0.0001502558,0.00168647],"category_scores_gemma":[0.00002671212,0.00006892945,0.0001415685,0.0003642487,0.0001486468,0.000370137,0.0002485623,0.0001800859,0.00001744746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004969041,"about_ca_system_score_gemma":0.00002694384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009565034,"about_ca_topic_score_gemma":0.007676835,"domain_scores_codex":[0.9989942,0.0001216723,0.00018139,0.0003218651,0.0001562629,0.0002246448],"domain_scores_gemma":[0.9991356,0.0003622885,0.0001974985,0.0001054798,0.0001125722,0.00008656828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00112163,0.001666945,0.4899924,0.0003112531,0.001136974,0.00008477159,0.002933212,0.00009414886,0.0932221,0.0213721,0.0167038,0.3713606],"study_design_scores_gemma":[0.0003988187,0.0001751097,0.9682984,0.00003161997,0.0000460434,0.000001257936,0.01022803,0.00260985,0.0007293256,0.0002973692,0.01697638,0.0002077423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703532,0.00009925191,0.00002876474,0.002287349,0.00005458229,0.0002091798,0.000290796,0.0000142034,0.02666264],"genre_scores_gemma":[0.9927937,0.000327132,0.0005975554,0.00004183657,0.00003657277,5.696322e-7,0.000330584,7.625429e-7,0.005871289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478306,"threshold_uncertainty_score":0.9992262,"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."}}