{"id":"W4297236414","doi":"10.47509/ajeb.2022.v03i02.01","title":"INDIA’S SOYABEAN EXPORT: TRENDS, DIRECTIONS AND WAY FORWARD","year":2022,"lang":"en","type":"article","venue":"ASIAN JOURNAL OF ECONOMICS AND BUSINESS","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Productivity; Agricultural economics; Position (finance); Yield (engineering); Balance of payments; Independence (probability theory); Work (physics); Business; Economics; International trade; Geography; International economics; Economic growth; Engineering; Mathematics","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":[0.0002430996,0.0002205016,0.0001341226,0.001562696,0.0003548219,0.001762163,0.0002282737,0.0002476439,0.002823641],"category_scores_gemma":[0.0005719989,0.0001253392,0.00035208,0.003417146,0.000239228,0.001036416,0.0003552875,0.0006029377,0.0007731086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801442,"about_ca_system_score_gemma":0.0007268819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009894256,"about_ca_topic_score_gemma":0.01963863,"domain_scores_codex":[0.9998301,0.00001605802,0.00001729222,0.00003535176,0.00004901001,0.0000521885],"domain_scores_gemma":[0.999276,0.0001224513,0.0002338578,0.00003497046,0.0002678364,0.00006503924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002500009,0.00009995083,0.8573173,0.0006477361,0.0001345211,0.001537202,0.003764111,0.001149807,0.006571279,0.007008759,0.008794018,0.1127253],"study_design_scores_gemma":[0.000003021881,0.000122335,0.9479554,0.0001324918,0.00006175372,0.00100391,0.00620594,0.000862091,0.001882908,0.0006872441,0.04105084,0.00003219836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562083,0.006419139,0.0007952273,0.00348375,0.00009409688,0.00001633943,0.005079657,0.00009074685,0.02781278],"genre_scores_gemma":[0.9800837,0.006558781,0.00105369,0.0002393905,0.00006061954,0.000008964478,0.002865108,0.00002222512,0.009107564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009894256,"threshold_uncertainty_score":0.01967335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460797274075636,"score_gpt":0.191664521530921,"score_spread":0.1770565487901646,"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."}}