{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002760147,0.000184075,0.0005485648,0.00002949137,0.0001473743,0.00004590703,0.00006278744,0.00008575321,0.000008100313],"category_scores_gemma":[0.0000609465,0.0001068017,0.00005985092,0.00003366721,0.000512159,0.0002063696,0.0001614238,0.0002445326,1.08644e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001706259,"about_ca_system_score_gemma":0.00003250242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001770743,"about_ca_topic_score_gemma":0.000003219675,"domain_scores_codex":[0.9990854,0.00002952151,0.0003238091,0.0001978221,0.0002210172,0.0001424339],"domain_scores_gemma":[0.9988142,0.000116236,0.0005779444,0.000115362,0.0001579937,0.0002182233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002464831,0.000156172,0.04897317,0.001028755,0.0001890234,0.000004029543,0.001061306,5.826398e-7,0.9462766,0.000007536115,0.00002953404,0.00202682],"study_design_scores_gemma":[0.00110945,0.0006130526,0.5320443,0.0003245702,0.0001042572,0.0002514812,0.00434513,0.00001234648,0.4610378,0.000006065799,0.00006239507,0.00008915639],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968531,0.001849997,0.00001061322,0.0007952764,0.00003338112,0.0001372695,0.00006035073,0.000003208662,0.0002568239],"genre_scores_gemma":[0.9966863,0.002939579,0.0002781767,0.00002216136,0.00004628603,8.220376e-7,0.000001935796,0.000004411923,0.00002031383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4852388,"threshold_uncertainty_score":0.4355246,"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."}}