{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187132,0.0001454247,0.0001386534,0.00001067105,0.0001657216,0.00006021627,0.00005962797,0.0001517495,0.0001596849],"category_scores_gemma":[0.00008379461,0.00006192648,0.00005467975,0.000221188,0.00007810289,0.0002651415,0.00004786585,0.0001346137,0.00002134554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000040383,"about_ca_system_score_gemma":0.00001281099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003468522,"about_ca_topic_score_gemma":0.000006953314,"domain_scores_codex":[0.9991378,0.00004881297,0.0001368755,0.0003290282,0.0001748143,0.0001726445],"domain_scores_gemma":[0.9995681,0.00006607511,0.0000779824,0.00003914336,0.0001075414,0.0001411712],"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":[0.002126835,0.0003082749,0.002086214,0.00000708563,0.00005142688,5.237258e-7,0.00006515883,0.00000354788,0.9728433,0.0005520993,0.0001885331,0.02176698],"study_design_scores_gemma":[0.001973875,0.03106262,0.6091329,0.00006102345,0.0002778221,0.0003897184,0.006632037,0.0007627532,0.2175157,0.01187382,0.1185394,0.001778309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954618,0.00005614753,0.0002471025,0.000425188,0.0001637696,0.0001409037,0.00007062321,0.000109285,0.003325247],"genre_scores_gemma":[0.9977571,0.00001188391,0.00003400878,0.0001999113,0.0006303745,0.00005077263,0.001146885,9.956008e-7,0.0001680465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7553276,"threshold_uncertainty_score":0.2525288,"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."}}