{"id":"W4410345501","doi":"10.51594/ijarss.v7i5.1911","title":"Ethical Challenges in AI-Powered Supply Chains: A U.S.-Nigeria Policy Perspective","year":2025,"lang":"en","type":"article","venue":"International Journal of Applied Research in Social Sciences","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red River College","funders":"","keywords":"Perspective (graphical); Supply chain; Business; Engineering ethics; Political science; Engineering; Marketing; Computer science; Artificial intelligence","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":[0.006278751,0.0001129805,0.0002232872,0.003418241,0.0002678019,0.000443849,0.001415621,0.0001374748,0.00006752219],"category_scores_gemma":[0.0005737785,0.00009177672,0.00008125522,0.00230678,0.0007412062,0.0005132923,0.0004380565,0.0009656253,0.00001880337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005473093,"about_ca_system_score_gemma":0.0005095619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138438,"about_ca_topic_score_gemma":0.000942518,"domain_scores_codex":[0.9969816,0.00007377352,0.0004520494,0.0002935545,0.001742209,0.0004568222],"domain_scores_gemma":[0.9987953,0.0002493232,0.0001719528,0.00006887202,0.0006986965,0.00001579853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002121261,0.0001794426,0.004749416,0.00002058811,0.00003013132,0.0000737265,0.001803891,0.0001709986,0.0001443515,0.9717642,0.002381456,0.01846964],"study_design_scores_gemma":[0.001500748,0.00004145832,0.04500553,0.0002567539,0.000003983453,0.000002242105,0.07532564,0.0006374985,0.00006255026,0.8365301,0.04044684,0.0001865779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1299259,0.0006965488,0.00005301016,0.4695872,0.000932952,0.0004074697,0.000001672941,0.00001730014,0.398378],"genre_scores_gemma":[0.9943318,0.0009434322,0.00005971166,0.002563989,0.002008053,0.00002238383,6.170633e-7,0.000005248427,0.00006472832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8644059,"threshold_uncertainty_score":0.4280046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055591985315654,"score_gpt":0.4574544538549622,"score_spread":0.3518952553233968,"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."}}