{"id":"W2786188422","doi":"10.1039/c7fo02007d","title":"A natural food ingredient based on ergosterol: optimization of the extraction from<i>Agaricus blazei</i>, evaluation of bioactive properties and incorporation in yogurts","year":2018,"lang":"en","type":"article","venue":"Food & Function","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Ministério da Educação; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Ingredient; Food science; Ergosterol; Chemistry; Extraction (chemistry); Food additive; Natural food; Active ingredient; Chromatography; Biology; 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":[0.0001039505,0.0004615513,0.000254386,0.0004324222,0.0001138285,0.0002948663,0.0001224089,0.0001755898,0.0007182946],"category_scores_gemma":[0.0001284867,0.0001033212,0.0002497182,0.000310185,0.0001564143,0.0002491107,0.0001996966,0.000314548,0.0002509151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009886421,"about_ca_system_score_gemma":0.0001692172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005195294,"about_ca_topic_score_gemma":0.00172577,"domain_scores_codex":[0.9999242,0.0000119252,0.000007455843,0.00001541303,0.0000268224,0.00001417409],"domain_scores_gemma":[0.9999615,0.000007034851,0.00001091976,0.000002984043,0.000007996818,0.000009543667],"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":[0.00005814727,0.0000276781,0.000101895,0.00007441029,0.000005102046,0.00003862454,0.000009950889,0.00007081318,0.9979711,0.00002324792,0.00001053856,0.001608387],"study_design_scores_gemma":[0.000008271804,0.0002974713,0.003283013,0.00002361173,0.00003705843,0.0001240768,0.00004105502,0.000199356,0.9942942,0.00001913519,0.001664702,0.000007942046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915934,0.002453048,0.002993815,0.00007713747,0.00001560856,0.00007363885,0.0003798797,0.00004582005,0.002367735],"genre_scores_gemma":[0.9911727,0.001531108,0.005097633,0.00002901831,0.000004711465,0.0000279427,0.0004987445,0.00002997062,0.001608129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007182946,"threshold_uncertainty_score":0.002402961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436561178402467,"score_gpt":0.2547614566471961,"score_spread":0.2111053388069494,"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."}}