{"id":"W4399925899","doi":"10.1016/bs.afnr.2024.06.009","title":"Frontiers of machine learning in smart food safety","year":2024,"lang":"en","type":"review","venue":"Advances in food and nutrition research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Food safety; Food science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005985122,0.000239853,0.001113023,0.001395128,0.00006510564,0.00003223817,0.0002605783,0.0002842238,0.0001052089],"category_scores_gemma":[0.0002526308,0.0002076204,0.0001798954,0.002354898,0.0001897159,0.000132068,0.0001487676,0.001753042,0.000005475077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000313,"about_ca_system_score_gemma":0.00009072549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002201922,"about_ca_topic_score_gemma":0.0001435008,"domain_scores_codex":[0.9979547,0.0001433513,0.0006100436,0.0004902387,0.0004048843,0.0003968212],"domain_scores_gemma":[0.9991475,0.0004212606,0.0001097149,0.0001949056,0.00005872062,0.00006784131],"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":[0.0001879189,0.0006238648,0.0006530758,0.1679752,0.0003490737,0.00004649276,0.00009927995,0.000002178528,0.00002971864,0.001198123,0.0007071246,0.8281279],"study_design_scores_gemma":[0.0004376792,0.0003130136,7.109581e-7,0.009088626,0.0001062362,0.000008663803,0.0003225401,0.00002025153,0.0003501266,0.001643132,0.9875126,0.000196403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007681393,0.9942621,0.00001067367,0.00003773518,0.00004853432,0.0001952854,0.0001427312,0.00002364876,0.005202496],"genre_scores_gemma":[0.002549639,0.9963778,0.0001807541,0.000001956291,0.00007539015,0.0001435281,0.0001697498,0.00003263944,0.0004685289],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9868055,"threshold_uncertainty_score":0.8466516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06377717577422787,"score_gpt":0.4193702606875574,"score_spread":0.3555930849133295,"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."}}