{"id":"W4366544911","doi":"10.1108/scm-02-2022-0068","title":"Power asymmetries in supply chains and implications for environmental governance: a study of the beef industry","year":2023,"lang":"en","type":"article","venue":"Supply Chain Management An International Journal","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Supply chain; Corporate governance; Business; Sustainability; Feedlot; Originality; Industrial organization; Supply chain management; Power (physics); Marketing; Environmental economics; Economics; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007070046,0.0001586726,0.0001633698,0.0003430473,0.0002669751,0.0003239337,0.0006562445,0.00007461564,0.00006202228],"category_scores_gemma":[0.0001113668,0.000133842,0.00009464101,0.0004926457,0.0001008734,0.0008759793,0.0003606172,0.000260225,0.000003138651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952388,"about_ca_system_score_gemma":0.00001855175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000169731,"about_ca_topic_score_gemma":0.0001696467,"domain_scores_codex":[0.9985891,0.00003253392,0.0003879399,0.0002394546,0.0004584022,0.0002925458],"domain_scores_gemma":[0.9993796,0.00004410899,0.0002749371,0.0001875663,0.00008830478,0.00002552354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006640069,0.0005524111,0.9551967,0.00002465509,0.0001279344,0.00001090947,0.001288405,0.0001652084,0.00001173631,0.03685529,0.001270836,0.004429543],"study_design_scores_gemma":[0.001501212,0.00005452616,0.9488435,0.00002887693,0.00003624185,0.000002476735,0.03653022,0.0002577996,0.000001613507,0.008369045,0.004244807,0.0001296238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906193,0.00002573266,0.00002541116,0.006009429,0.0005686566,0.0008422841,0.00008267511,0.00002528694,0.001801235],"genre_scores_gemma":[0.9982694,0.00007940487,0.00002105361,0.0005091469,0.0004362856,0.00005325885,0.0000339517,0.00001879356,0.0005786914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03524182,"threshold_uncertainty_score":0.5457918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659960641244207,"score_gpt":0.2812647342743421,"score_spread":0.2646651278619,"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."}}