{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230057,0.0009778953,0.001384825,0.001552123,0.0002583636,0.001537261,0.0009751674,0.001542149,0.004426136],"category_scores_gemma":[0.001936985,0.0002886499,0.0005652716,0.002091631,0.0009739301,0.002487384,0.00110832,0.002591583,0.002057238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009973443,"about_ca_system_score_gemma":0.001361139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205775,"about_ca_topic_score_gemma":0.001497174,"domain_scores_codex":[0.9997103,0.00007419939,0.00002229613,0.00006117956,0.000103451,0.00002864152],"domain_scores_gemma":[0.9988446,0.0008281007,0.00006243816,0.00003948899,0.0001783428,0.00004699454],"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":[0.00005055278,0.00007871995,0.0001532804,0.009797563,0.00008256282,0.00006735857,0.00004378719,0.001423203,0.001045725,0.0300777,0.02211053,0.9350689],"study_design_scores_gemma":[0.000014672,0.00008387931,0.0005946936,0.004156735,0.00008601171,0.000295135,0.00005464167,0.0012429,0.0008865655,0.02611174,0.9664392,0.00003391038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001334361,0.9950765,0.001466991,0.0008083635,0.0003213003,0.000003948795,0.00002181068,0.00001599076,0.00215173],"genre_scores_gemma":[0.001995261,0.9948072,0.00120125,0.0004272473,0.0005362888,0.000008198326,0.00003502497,0.000005391602,0.0009841775],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004426136,"threshold_uncertainty_score":0.01480687,"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."}}