{"id":"W3160923552","doi":"10.1002/cbdv.202100245","title":"Herbal Extracts as Potential Antioxidant, Anti‐Aging, Anti‐Inflammatory, and Whitening Cosmeceutical Ingredients","year":2021,"lang":"en","type":"article","venue":"Chemistry & Biodiversity","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculté de pharmacie, Université de Montréal; Chiang Mai University","keywords":"Cosmeceutical; Chemistry; Tyrosinase; Antioxidant; Anti-inflammatory; Traditional medicine; Hyaluronidase; Flavonoid; Polyphenol; Food science; Pharmacology; Biochemistry; Enzyme; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001319507,0.0004170018,0.0003554634,0.0006917017,0.0002063914,0.0002682802,0.0001681101,0.0003260886,0.001554214],"category_scores_gemma":[0.0001113808,0.0001070809,0.0002749122,0.0002998819,0.0001175846,0.0003339782,0.0001880291,0.0002543709,0.0001927331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007479927,"about_ca_system_score_gemma":0.0001179226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001675199,"about_ca_topic_score_gemma":0.0007020543,"domain_scores_codex":[0.9999418,0.00001373582,0.000005477903,0.000009129626,0.0000193295,0.00001049391],"domain_scores_gemma":[0.9999379,0.00001401993,0.00001781619,0.000004080915,0.00001623678,0.00001004214],"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":[0.000429008,0.0003199093,0.0009083281,0.0009186934,0.00005088349,0.0003417419,0.00004316144,0.0001241563,0.9637224,0.0001314044,0.0000837945,0.03292648],"study_design_scores_gemma":[0.0002340149,0.006574822,0.03956932,0.0003107486,0.0006065215,0.00280992,0.0002750402,0.0009336835,0.9254768,0.0003875756,0.02277817,0.00004332178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432718,0.05048791,0.002940214,0.0002102197,0.00005853946,0.00007053003,0.0002727584,0.00005096037,0.002637139],"genre_scores_gemma":[0.9757671,0.01481862,0.006586653,0.0002159979,0.00006368527,0.00003255643,0.000326125,0.00001437788,0.002174937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001554214,"threshold_uncertainty_score":0.005199373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062494377443789,"score_gpt":0.1943689297296159,"score_spread":0.183743985955178,"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."}}