{"id":"W4386709312","doi":"10.1111/jscm.12310","title":"Transforming food supply chains for sustainability","year":2023,"lang":"en","type":"article","venue":"Journal of Supply Chain Management","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Sustainability; Supply chain; Agriculture; Business; Food systems; Food processing; Sustainable agriculture; Food chain; Natural resource economics; Scope (computer science); Food security; Economics; Marketing","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":[0.001619876,0.0002426452,0.0003102873,0.0001507755,0.0002422341,0.000049298,0.0004435719,0.00008322185,0.0004604259],"category_scores_gemma":[0.00007679236,0.0001863327,0.0003471238,0.0005641695,0.0001785112,0.0004842427,0.0002005689,0.0001951195,0.00004499584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225293,"about_ca_system_score_gemma":0.00001632228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002242677,"about_ca_topic_score_gemma":0.0000311351,"domain_scores_codex":[0.9977839,0.0000681438,0.0005957526,0.0002943698,0.0005995553,0.0006582889],"domain_scores_gemma":[0.9991697,0.0001027918,0.0002190474,0.0002523881,0.00002965377,0.0002263922],"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":[0.001804845,0.003023247,0.2835646,0.002934437,0.001358419,0.0009693049,0.02331962,0.1203381,0.004010349,0.01874341,0.1714765,0.3684572],"study_design_scores_gemma":[0.005107779,0.003889326,0.5235839,0.0001203577,0.0003597188,0.0001091808,0.06500161,0.001728526,0.002192459,0.06880589,0.3279696,0.001131673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743826,0.00005842678,0.009333721,0.01117545,0.0002925745,0.001997691,0.00003353763,0.00006888106,0.002657115],"genre_scores_gemma":[0.9952519,0.0001442714,0.001127898,0.0002436407,0.0001244509,0.00007029854,0.00001475508,0.00002397893,0.002998812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3673255,"threshold_uncertainty_score":0.7598426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009013126849015736,"score_gpt":0.2347386700340999,"score_spread":0.2257255431850841,"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."}}