{"id":"W4407691881","doi":"10.1007/978-3-031-72494-7_43","title":"Blockchain—Powered Governance: Driving Sustainability in Agri-Food Supply Chains","year":2025,"lang":"en","type":"book-chapter","venue":"Springer proceedings in business and economics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sustainability; Business; Blockchain; Corporate governance; Supply chain; Environmental economics; Economics; Computer science; Finance; Marketing; Computer security; Ecology; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000536041,0.000484333,0.0007194419,0.0005210894,0.0001388515,0.0002097466,0.001123631,0.0007667358,0.000009829103],"category_scores_gemma":[0.0001025941,0.0005690387,0.00007793408,0.0003248722,0.0002185548,0.0002486761,0.001255906,0.000791413,0.000002695094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868188,"about_ca_system_score_gemma":0.000298209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017671,"about_ca_topic_score_gemma":0.0006530727,"domain_scores_codex":[0.9974038,0.00000335309,0.0007218037,0.001243406,0.00009276628,0.0005348457],"domain_scores_gemma":[0.9986485,0.00005779356,0.000390136,0.0005438972,0.0002852662,0.00007443209],"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":[0.000006284281,0.00004650491,0.00493491,0.0002740761,0.00001801431,0.00000405752,0.0002629803,0.00002991315,0.000002298282,0.9721576,0.00006688011,0.02219649],"study_design_scores_gemma":[0.001486844,0.00008631371,0.094286,0.001059505,0.00002874243,0.00003279879,0.0001668446,0.02254459,0.00007626993,0.7371275,0.1412142,0.001890305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7196265,0.005950847,0.005350574,0.03840683,0.001544255,0.004627614,0.0001013864,0.001013876,0.2233781],"genre_scores_gemma":[0.9794449,0.004887118,0.003280698,0.000203333,0.0001239185,0.0002049221,0.0000052205,0.00005115988,0.01179877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2598183,"threshold_uncertainty_score":0.9996761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006036023109401744,"score_gpt":0.192245221792858,"score_spread":0.1862091986834562,"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."}}