{"id":"W2570163555","doi":"10.1021/acs.jafc.6b04962","title":"Rapid and Efficient Conversion of All-<i>E</i>-astaxanthin to 9<i>Z</i>- and 13<i>Z</i>-Isomers and Assessment of Their Stability and Antioxidant Activities","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Ministry of Education of the People's Republic of China; Agriculture and Agri-Food Canada; National Natural Science Foundation of China","keywords":"Astaxanthin; Antioxidant; Chemistry; DPPH; Bioavailability; Nutraceutical; Isomerization; High-performance liquid chromatography; In vivo; Chromatography; Ethyl acetate; Nuclear chemistry; Catalysis; Organic chemistry; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000194472,0.0005502425,0.0001748532,0.0003149846,0.0002144732,0.0002122463,0.0002255034,0.0001858453,0.001464319],"category_scores_gemma":[0.0002045995,0.0001487312,0.0002517997,0.0004152489,0.00017197,0.0002649505,0.000329218,0.0004944724,0.0005423923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577269,"about_ca_system_score_gemma":0.0002869326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004394278,"about_ca_topic_score_gemma":0.000920868,"domain_scores_codex":[0.9998131,0.00002692469,0.00001430467,0.00005051453,0.000063467,0.00003167673],"domain_scores_gemma":[0.9998974,0.00001299815,0.00003496145,0.00001190675,0.00002781321,0.00001503286],"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":[0.00007474129,0.00001782802,0.0001283049,0.00003253387,0.000005332598,0.00003231772,0.0000118699,0.00006403358,0.9963145,0.00006402167,0.00005955804,0.003194979],"study_design_scores_gemma":[0.000007089854,0.0001162127,0.0009464154,0.000002181222,0.000006728588,0.0001388515,0.00000877441,0.0002914033,0.9967135,0.00003656287,0.00172817,0.00000402097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835475,0.001946091,0.1008977,0.0001621164,0.0001053255,0.0003574415,0.001041101,0.0006374683,0.01130517],"genre_scores_gemma":[0.9662933,0.001133833,0.02547755,0.0000596713,0.0000151599,0.0001191964,0.0008716765,0.0001004063,0.005929232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001464319,"threshold_uncertainty_score":0.004898608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135736214923667,"score_gpt":0.2605113656478874,"score_spread":0.2391540034986507,"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."}}