{"id":"W4399767628","doi":"10.1016/bs.afnr.2024.06.001","title":"Virtualization and digital twins of the food supply chain for enhanced food safety","year":2024,"lang":"en","type":"review","venue":"Advances in food and nutrition research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Arrell Food Institute, University of Guelph; National Institute of Food and Agriculture; University of Guelph; U.S. Department of Agriculture","keywords":"Food chain; Food safety; Supply chain; Business; Food supply; Food science; Biotechnology; Biology; Marketing; Agricultural science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004814069,0.0005953386,0.0005701567,0.001080958,0.0002223992,0.001537574,0.0006237291,0.0009262577,0.004956765],"category_scores_gemma":[0.0007797665,0.0001544464,0.0004332134,0.001821567,0.0007414727,0.002794978,0.001076281,0.001160388,0.0009262541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006597875,"about_ca_system_score_gemma":0.001078679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009027954,"about_ca_topic_score_gemma":0.001290715,"domain_scores_codex":[0.999804,0.00004806086,0.00001260652,0.00003067154,0.00007599,0.00002860737],"domain_scores_gemma":[0.9996231,0.0002341615,0.00005380222,0.00001715544,0.00005039042,0.00002147931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006285698,0.00006616265,0.000322805,0.007186766,0.00004930229,0.0001158343,0.00007747106,0.00100294,0.001482284,0.07520875,0.01003325,0.9043916],"study_design_scores_gemma":[0.00001335266,0.0001431014,0.0009285719,0.005427625,0.00008812439,0.0005717247,0.0002002381,0.0007911859,0.001780924,0.02682837,0.963198,0.00002879061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008653746,0.9893712,0.001335609,0.0007925683,0.0002956346,0.00000643517,0.00001687679,0.00001451095,0.007301822],"genre_scores_gemma":[0.01107498,0.985939,0.0008098302,0.000347783,0.000213287,0.000008367342,0.0000303874,0.000003144131,0.001573169],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004956765,"threshold_uncertainty_score":0.01658201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05457897253310441,"score_gpt":0.3581193363435143,"score_spread":0.3035403638104099,"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."}}