{"id":"W2889374571","doi":"10.4314/acsj.v26i3.7","title":"Analysis of citrus value chain in eastern Uganda","year":2018,"lang":"en","type":"article","venue":"African Crop Science Journal","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Carnegie Foundation for the Advancement of Teaching","keywords":"Value chain; Gross margin; Business; Value (mathematics); Agriculture; Agricultural economics; Chain (unit); Agricultural science; Commodity; Supply chain; Marketing; Economics; Profitability index; Geography; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002308031,0.0001158634,0.0002874947,0.001264905,0.0004286046,0.0005218185,0.0006394564,0.00003571939,0.0001174785],"category_scores_gemma":[0.0006013911,0.00009529819,0.0001497894,0.007263637,0.001124404,0.001308297,0.0001326433,0.0001562231,0.00001331931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825238,"about_ca_system_score_gemma":0.0002151602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002439387,"about_ca_topic_score_gemma":0.0004438999,"domain_scores_codex":[0.9981911,0.00002049209,0.0003725133,0.0002280031,0.0006747153,0.0005132036],"domain_scores_gemma":[0.9988362,0.00002053347,0.0003232806,0.0001896795,0.0005783914,0.00005192807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003607886,0.0001401575,0.9877213,0.00001519861,0.00006469541,0.00001957255,0.003176484,0.0003721179,0.0004211382,0.00401155,0.00007814751,0.003943617],"study_design_scores_gemma":[0.0003715889,0.00005769029,0.9613069,0.00002508395,0.0002425488,0.000003553805,0.01719664,0.01365736,0.00005183036,0.005864563,0.001013073,0.0002091792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786924,0.00002181818,0.0001696119,0.0005742612,0.0003094076,0.00006924052,0.000001607436,0.0000125341,0.02014915],"genre_scores_gemma":[0.9989075,0.000003048056,0.00006123484,0.0003590184,0.0005987286,5.542055e-7,3.900175e-7,0.000005368425,0.00006413981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02641436,"threshold_uncertainty_score":0.5031908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336503802072636,"score_gpt":0.2883467391308446,"score_spread":0.2649817011101182,"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."}}