{"id":"W4384156076","doi":"10.3389/frfst.2023.1203544","title":"Virtualization of foods: applications and perspectives toward optimizing food systems","year":2023,"lang":"en","type":"article","venue":"Frontiers in Food Science and Technology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Virtualization; Virtual representation; Computer science; Quality (philosophy); Sustainability; Food safety; Food quality; Risk analysis (engineering); Personalization; Food industry; Systems engineering; Process management; Data science; Engineering; Cloud computing; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420721,0.00006895777,0.000150766,0.0001619986,0.0001725432,0.00003277607,0.0002125892,0.00007911665,0.00000113955],"category_scores_gemma":[0.0001359404,0.00003400335,0.00001027855,0.002610662,0.0007308733,0.0001431253,0.0001234931,0.00006958943,5.883068e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001768335,"about_ca_system_score_gemma":0.00001421866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267096,"about_ca_topic_score_gemma":0.00001685449,"domain_scores_codex":[0.9991361,0.00001995019,0.0001539352,0.0003414066,0.0001522559,0.000196302],"domain_scores_gemma":[0.9997127,0.00002299935,0.00006179458,0.00005709341,0.000110346,0.00003504227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002836383,0.0001471284,0.08203699,0.0001346834,0.00003327634,0.000001347299,0.002630339,0.00002155749,0.3951023,0.3007635,0.0006068855,0.2184937],"study_design_scores_gemma":[0.001374054,0.009809448,0.1836708,0.0002846461,0.00005257883,0.00005494973,0.5005054,0.01129884,0.09036356,0.1803668,0.02053566,0.001683266],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949052,0.002368852,0.0003516337,0.001714571,0.00008120923,0.000269037,0.00001264916,0.0001008622,0.0001960407],"genre_scores_gemma":[0.9990739,0.0003655867,0.0004737839,0.000008181481,0.00002363377,0.00003898816,0.000002523715,5.583979e-7,0.00001286226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4978751,"threshold_uncertainty_score":0.2692933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411791510663202,"score_gpt":0.2488457470783497,"score_spread":0.2047278319717176,"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."}}