{"id":"W4398185362","doi":"10.1016/j.tifs.2024.104550","title":"Towards a harmonized approach for food authenticity marker validation and accreditation","year":2024,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; McGill University","funders":"","keywords":"Accreditation; Computer science; Medicine; Medical education","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":[0.0006686087,0.0001128833,0.0001043481,0.001094086,0.0001439084,0.0001250913,0.0003033445,0.0001762984,0.000009406849],"category_scores_gemma":[0.0002102312,0.0001103593,0.00004121698,0.001624109,0.000510986,0.0000249958,0.00009567695,0.00009406644,0.000002557753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003226881,"about_ca_system_score_gemma":0.0001039802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001072674,"about_ca_topic_score_gemma":0.000005901186,"domain_scores_codex":[0.9987391,0.00002294981,0.0002370545,0.0006124339,0.000149863,0.0002386603],"domain_scores_gemma":[0.9994567,0.000009761497,0.00005788227,0.0003176718,0.0001194021,0.00003857202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004497081,0.0001114505,0.0003549684,0.00005299795,0.00003420418,1.911099e-7,0.0002811303,0.00002196045,0.8505173,0.05461739,0.0005761278,0.0933873],"study_design_scores_gemma":[0.0006305696,0.000676061,0.003650717,0.00001546271,0.00002324372,0.00002295503,0.0003639794,0.007078534,0.97113,0.004144569,0.01200157,0.0002623376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211733,0.0006561873,0.07388426,0.001768079,0.0004280056,0.0003073105,0.00006127376,0.0001330599,0.001588503],"genre_scores_gemma":[0.9928067,0.00002706195,0.006326238,0.00002412845,0.00003897743,0.0002170292,0.0001399079,0.00001249253,0.0004074321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206127,"threshold_uncertainty_score":0.4500324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488895906445711,"score_gpt":0.3247635489020131,"score_spread":0.279874589837556,"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."}}