{"id":"W2965048796","doi":"10.1039/c9fo01473j","title":"Challenges of traditional herbal teas: plant infusions and their mixtures with bioactive properties","year":2019,"lang":"en","type":"article","venue":"Food & Function","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Interreg; Kansainvälisen Liikkuvuuden ja Yhteistyön Keskus","keywords":"Rosmarinic acid; Melissa officinalis; Prunella vulgaris; TBARS; Traditional medicine; Thymus vulgaris; Herb; Antimicrobial; Officinalis; Flavonoid; Quercetin; Chemistry; Antioxidant; Lamiaceae; Mentha spicata; Apigenin; Botany; Food science; Biology; Essential oil; Medicinal herbs; Biochemistry; Lipid peroxidation; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004302542,0.00009291044,0.0001141339,0.000004537609,0.0000686002,0.00001012754,0.00004583698,0.00006649495,0.0000858296],"category_scores_gemma":[0.000007965483,0.00002495901,0.00003044002,0.00004919287,0.00008077488,0.00009435375,0.0000188471,0.00007073839,0.000001988196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005471564,"about_ca_system_score_gemma":0.000004352427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387564,"about_ca_topic_score_gemma":0.00005129393,"domain_scores_codex":[0.9995704,0.00002632146,0.00007160133,0.0001643487,0.0000735147,0.00009383047],"domain_scores_gemma":[0.999778,0.00008916211,0.00005130158,0.00002444275,0.00002738689,0.00002970718],"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":[0.001850813,0.0001609976,0.001408341,0.00002269239,0.00004792458,1.588172e-7,0.0001128879,0.000001360132,0.9748743,0.0005819766,0.0000141938,0.02092431],"study_design_scores_gemma":[0.00039611,0.04675737,0.5638145,0.000187855,0.00002504511,0.00004464876,0.006116814,0.00002401399,0.3742355,0.004567068,0.00346373,0.000367343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995537,0.0006710971,5.615196e-7,0.0004206545,0.0000432323,0.0001194685,0.0001204806,0.00002686054,0.003060668],"genre_scores_gemma":[0.9996766,0.00007650584,0.000004289512,0.00003674269,0.0001228271,0.00001608335,0.00004571418,3.93912e-7,0.00002079198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6006388,"threshold_uncertainty_score":0.1017799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0477094814704597,"score_gpt":0.1706432909778273,"score_spread":0.1229338095073677,"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."}}