{"id":"W4411427948","doi":"10.3390/ijms26125830","title":"Biochemical Analysis of Wheat Milling By-Products for Their Valorization as Potential Food Ingredients","year":2025,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bran; Cultivar; Food science; Phytic acid; Ferulic acid; Chemistry; Oleic acid; Dietary fiber; Fraction (chemistry); Aleurone; Linolenic acid; Fatty acid; Agronomy; Raw material; Biology; Biochemistry; Endosperm; Linoleic acid; Chromatography; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620646,0.0007963231,0.0003411755,0.001088639,0.0002989048,0.0005807146,0.0001316328,0.0002855759,0.0005997316],"category_scores_gemma":[0.0002643553,0.0002014136,0.0004129461,0.001048538,0.0001622572,0.0002175602,0.0002174439,0.0003392981,0.0002617345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237252,"about_ca_system_score_gemma":0.000261284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513038,"about_ca_topic_score_gemma":0.006342502,"domain_scores_codex":[0.999801,0.00003051253,0.00001833118,0.00005613409,0.00006286312,0.00003125451],"domain_scores_gemma":[0.9998111,0.00002731017,0.00005406573,0.00001276774,0.00006884555,0.00002588473],"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":[0.0001475263,0.00003190196,0.004241417,0.0001069389,0.00003255417,0.00005757071,0.00007168098,0.0000324378,0.9925542,0.00002245688,0.0000158553,0.002685452],"study_design_scores_gemma":[0.00001392686,0.0007267767,0.2574348,0.00006908577,0.0002421472,0.0002907387,0.0004911752,0.0008275387,0.7355974,0.00007607157,0.004209867,0.00002050565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925231,0.003204941,0.001949217,0.00001979435,0.00001533389,0.00004979793,0.001244008,0.00002369028,0.0009699459],"genre_scores_gemma":[0.9796936,0.002513953,0.008793032,0.00007778512,0.000009526158,0.0001077642,0.003925748,0.0000444124,0.004834074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002513038,"threshold_uncertainty_score":0.004996836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013563588986464,"score_gpt":0.2615960748037733,"score_spread":0.2480324858173093,"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."}}