{"id":"W4389219668","doi":"10.1002/fsat.3704_2.x","title":"Editorial and News","year":2023,"lang":"en","type":"article","venue":"Food Science and Technology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food safety; Transparency (behavior); Traceability; Business; Accountability; Certification; Public relations; Marketing; Internet privacy; Risk analysis (engineering); Computer security; Political science; Engineering; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417359,0.00004523839,0.00004229747,0.0002074708,0.0001938958,0.00003906384,0.0001520491,0.0001016029,0.000001898869],"category_scores_gemma":[0.0002689888,0.00004268199,0.000005966246,0.0007553895,0.0006344371,0.000005261758,0.000140087,0.00004375285,0.00002629116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002743619,"about_ca_system_score_gemma":0.00006345359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001497866,"about_ca_topic_score_gemma":0.000008321051,"domain_scores_codex":[0.9993942,0.000004939092,0.00007412879,0.0002728152,0.0001143778,0.0001394721],"domain_scores_gemma":[0.9995867,0.000003326805,0.00002580351,0.000202258,0.0001451288,0.000036795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003327056,0.000007304049,0.001052601,0.000003182914,0.000003739107,1.078993e-7,0.00002078019,1.385381e-7,0.9047683,0.01519164,0.07172929,0.007219562],"study_design_scores_gemma":[0.0002027876,0.0002604677,0.001331285,0.000002047343,0.000003000771,0.00001017313,0.000351057,0.00003170606,0.2845471,0.001660356,0.7114985,0.0001015152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902399,0.0001146225,0.00004915531,0.002964065,0.005915152,0.00007998691,0.00000458514,0.00007843933,0.0005540922],"genre_scores_gemma":[0.9980102,0.0001633785,0.00006706357,0.00005505525,0.001355151,0.00001589098,0.000007700602,0.000003600032,0.0003219318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6397692,"threshold_uncertainty_score":0.233761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449496972396953,"score_gpt":0.2707633855354279,"score_spread":0.2562684158114584,"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."}}