{"id":"W1589221839","doi":"","title":"Direction of Trade in Indian Pepper Exports: A Markov Chain Approach","year":2008,"lang":"en","type":"article","venue":"The IUP Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pepper; Purchasing power; World trade; Business; International trade; Purchasing; Economics; International economics; Agricultural economics; Horticulture; Marketing","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":[0.002105338,0.0005154182,0.0007041238,0.00154913,0.0008641059,0.002126876,0.001147133,0.001428965,0.009443432],"category_scores_gemma":[0.005673773,0.0005934935,0.00123041,0.001103245,0.001206467,0.001389661,0.001172242,0.001711303,0.0006288814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002491,"about_ca_system_score_gemma":0.002751457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03597687,"about_ca_topic_score_gemma":0.03541803,"domain_scores_codex":[0.9993823,0.0002501436,0.00002824723,0.0001410149,0.00005744592,0.0001409419],"domain_scores_gemma":[0.9940132,0.004598971,0.0005761631,0.0001224944,0.0004462077,0.0002429369],"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":[0.000225351,0.00009854419,0.02883758,0.00006970339,0.00008399491,0.0004515246,0.0003547539,0.9051416,0.000527738,0.05452929,0.001567422,0.008112404],"study_design_scores_gemma":[0.00001781437,0.00004382722,0.001811058,0.00003066834,0.00003051386,0.0000454396,0.0001463623,0.9838648,0.00009106848,0.01328226,0.0006157857,0.00002047213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6615521,0.0009406859,0.3053935,0.003976748,0.0001437884,0.0003514402,0.002952574,0.0002424714,0.02444674],"genre_scores_gemma":[0.9701132,0.0009034758,0.01652716,0.0001522838,0.00004889995,0.0002210614,0.001312305,0.00003244622,0.01068917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03597687,"threshold_uncertainty_score":0.07153493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437522891297799,"score_gpt":0.1778132159328957,"score_spread":0.1434379870199177,"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."}}