{"id":"W2172012961","doi":"10.1108/13683040910984275","title":"Analyzing price transmission in agri‐food supply chains: an overview","year":2009,"lang":"en","type":"article","venue":"Measuring Business Excellence","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Industrial organization; Food supply; Business; Transmission (telecommunications); Power transmission; Economics; Power (physics); Marketing; Computer science; Agricultural economics; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008804309,0.000287713,0.0005518736,0.000351404,0.0001396006,0.0001357307,0.0004990486,0.0001583692,0.0001029062],"category_scores_gemma":[0.00006895758,0.0003026954,0.0001061837,0.0007527226,0.00002795463,0.000880583,0.00003540837,0.000238272,0.00007694372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334029,"about_ca_system_score_gemma":0.00002877247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001365559,"about_ca_topic_score_gemma":0.00005641552,"domain_scores_codex":[0.997924,0.00002894725,0.0007582074,0.0007265396,0.00006108687,0.0005011717],"domain_scores_gemma":[0.9990262,0.00003323937,0.0002795387,0.0004378504,0.00007025064,0.0001529443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008531475,0.007322509,0.2468049,0.002725496,0.0004118143,0.0002866643,0.01162438,0.0152612,0.02039008,0.3348887,0.001692567,0.3577386],"study_design_scores_gemma":[0.000899251,0.0001827842,0.9714073,0.0004216495,0.000009206597,0.00001350463,0.00005917323,0.00097046,0.0006013096,0.01330572,0.01134555,0.0007841194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186769,0.05737877,0.003548071,0.002630316,0.000378375,0.0004429698,0.00002702707,0.0001461607,0.01677149],"genre_scores_gemma":[0.9888319,0.00963291,0.0008784446,0.0002243203,0.0001520392,0.00001447782,0.00001606748,0.00002152001,0.0002283191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7246024,"threshold_uncertainty_score":0.9999425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06290744178868644,"score_gpt":0.2222245798288654,"score_spread":0.1593171380401789,"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."}}