{"id":"W4391747194","doi":"10.3390/antiox13020225","title":"Enrichment of Whole-Grain Breads with Food-Grade Extracted Apple Pomace Bioactives Enhanced Their Anti-Inflammatory, Antithrombotic and Anti-Oxidant Functional Properties","year":2024,"lang":"en","type":"article","venue":"Antioxidants","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Memorial University of Newfoundland","funders":"Directorate for Biological Sciences; Centers for Disease Control and Prevention; University of Limerick; Enterprise Ireland","keywords":"Pomace; Antithrombotic; Anti oxidant; Anti-inflammatory; Food science; Functional food; Whole grains; Chemistry; Healthy food; Traditional medicine; Biology; Antioxidant; Medicine; Biochemistry; Pharmacology","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":[0.00009630029,0.000512972,0.0002835655,0.0001673721,0.00009167277,0.0003265724,0.0001196441,0.0001710131,0.0007214098],"category_scores_gemma":[0.0001257401,0.000142441,0.0002459154,0.0001822218,0.0001204074,0.0002453056,0.0002464391,0.0005010565,0.0001426252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008151621,"about_ca_system_score_gemma":0.00009135791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002968167,"about_ca_topic_score_gemma":0.0005847957,"domain_scores_codex":[0.9999076,0.00001089671,0.00000692433,0.00003059893,0.00002351327,0.00002044942],"domain_scores_gemma":[0.9999506,0.000008633937,0.00001136108,0.000004594537,0.000009832385,0.00001498834],"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":[0.00006900987,0.00001423018,0.00009275309,0.00002971992,0.000005742439,0.00002272726,0.00000825142,0.00002095995,0.9990007,0.000009627403,0.000005160186,0.0007212669],"study_design_scores_gemma":[0.00001485586,0.0004335077,0.00817751,0.00001186019,0.00004348806,0.0001008665,0.00004087795,0.0003468502,0.9895436,0.00002432058,0.001256301,0.000005982845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966674,0.0009285465,0.001591485,0.00002575808,0.00001680013,0.0000224318,0.0002231508,0.00002328493,0.0005011593],"genre_scores_gemma":[0.9956014,0.0005342085,0.002193042,0.00003675422,0.00000522689,0.00001530916,0.0004415087,0.00002326806,0.001149261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007214098,"threshold_uncertainty_score":0.002413332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064012721275069,"score_gpt":0.2379344653459187,"score_spread":0.217294338133168,"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."}}