{"id":"W1770289680","doi":"10.1039/c5fo00309a","title":"Melissa officinalis L. decoctions as functional beverages: a bioactive approach and chemical characterization","year":2015,"lang":"en","type":"article","venue":"Food & Function","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"Kansainvälisen Liikkuvuuden ja Yhteistyön Keskus; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Decoction; Rosmarinic acid; Lamiaceae; Melissa officinalis; Quinic acid; Antimicrobial; Chemistry; Antioxidant; Traditional medicine; Enterobacter aerogenes; Officinalis; Food science; Biochemistry; Biology; Botany; Escherichia coli; Medicine; Organic chemistry","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":[0.0001026129,0.0006385326,0.0002656258,0.0007896376,0.0002107586,0.0001715084,0.0001458823,0.0002232999,0.001841807],"category_scores_gemma":[0.00009600083,0.0001080306,0.0004184021,0.0003539663,0.0001345303,0.0002445618,0.0001370897,0.0003039742,0.0003808253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007636462,"about_ca_system_score_gemma":0.0001004702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003883461,"about_ca_topic_score_gemma":0.0009131277,"domain_scores_codex":[0.9999352,0.00001323744,0.000004976617,0.00001283726,0.0000227465,0.00001101367],"domain_scores_gemma":[0.9999505,0.000006115486,0.00001012598,0.000003971703,0.00001729455,0.00001200904],"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":[0.00008061738,0.00005075861,0.0000796844,0.0001703212,0.00001018326,0.00005495442,0.00002539176,0.00004408723,0.9955044,0.00004601951,0.0000328213,0.003900714],"study_design_scores_gemma":[0.00003776915,0.001730998,0.008935574,0.00004731634,0.0001209208,0.000405963,0.0001005291,0.0006581767,0.977789,0.0001071909,0.01004544,0.00002118234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659285,0.0198161,0.006526748,0.0003184833,0.00006645841,0.0002286105,0.001135104,0.0001326801,0.005847404],"genre_scores_gemma":[0.9824802,0.004998585,0.006066794,0.000241897,0.00004933167,0.00009002323,0.0007515817,0.00003006645,0.00529157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001841807,"threshold_uncertainty_score":0.006161451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286678992767719,"score_gpt":0.199492033029368,"score_spread":0.1566252431016908,"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."}}