{"id":"W2038805152","doi":"10.1021/ac301680q","title":"Present and Future Challenges in Food Analysis: Foodomics","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":267,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad","keywords":"Chemistry; Food science","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":[0.0001936934,0.0001521676,0.0002620566,0.00004573871,0.00003025556,0.00001237216,0.0001017597,0.0001625139,0.00003476209],"category_scores_gemma":[0.00003718035,0.0001367613,0.0001156734,0.0001994629,0.00006203722,0.000003985895,0.0001490985,0.0001141104,0.00000149467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108109,"about_ca_system_score_gemma":0.00001193467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000248724,"about_ca_topic_score_gemma":0.00001051099,"domain_scores_codex":[0.9990677,0.00001882255,0.0001789156,0.0002980009,0.0001028301,0.0003337075],"domain_scores_gemma":[0.9994925,0.00001461093,0.00004103051,0.0002777186,0.00002690384,0.0001472944],"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":[0.0007377984,0.002997792,0.4398703,0.001084432,0.01971007,0.00002555827,0.001077553,0.00009614243,0.4592986,0.0314386,0.008301302,0.0353619],"study_design_scores_gemma":[0.002032319,0.0002994211,0.156833,0.00001306254,0.001339867,0.00003863452,0.00230798,0.0006903248,0.2021645,0.0007460747,0.632295,0.00123989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406809,0.04525712,0.00004447079,0.001484482,0.00004465337,0.00005671438,0.00001230785,0.00000721709,0.01241214],"genre_scores_gemma":[0.9874247,0.01087386,0.0001708591,0.00005202348,0.001200036,0.00001055642,0.00003160905,0.00001036442,0.0002259754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6239936,"threshold_uncertainty_score":0.5576963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454342611664011,"score_gpt":0.2612341214851682,"score_spread":0.2366906953685281,"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."}}