{"id":"W3157323854","doi":"","title":"Antimicrobial Properties of Medicinal Teas and Their Interactions with Antibiotics","year":2020,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Antimicrobial; Antibiotics; Chemistry; Traditional medicine; Food science; Medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004378944,0.0004481455,0.0004957738,0.0006489806,0.0003288368,0.0005431735,0.0002250525,0.0004943018,0.001928317],"category_scores_gemma":[0.0006189927,0.0001510489,0.0008503537,0.0005491865,0.0002538706,0.0004757395,0.0003541523,0.0004593959,0.0002656633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156645,"about_ca_system_score_gemma":0.000204543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003406469,"about_ca_topic_score_gemma":0.0006437878,"domain_scores_codex":[0.9995679,0.0001547932,0.00004728554,0.00004680994,0.000119696,0.00006335668],"domain_scores_gemma":[0.9993267,0.0002550736,0.0002029536,0.00004355305,0.0001152771,0.00005635721],"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":[0.0007157254,0.0003768022,0.00569918,0.001701105,0.0001483913,0.000414254,0.0002131811,0.0002908718,0.9647641,0.0001656606,0.0001670857,0.02534376],"study_design_scores_gemma":[0.00006651831,0.008469899,0.09320708,0.0003206684,0.0005112518,0.002132357,0.001034004,0.001048003,0.8751761,0.0004209637,0.0175463,0.00006676796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95101,0.04320717,0.001110504,0.0005967963,0.00008782127,0.0000551074,0.0003594163,0.00002647549,0.003546668],"genre_scores_gemma":[0.9835982,0.01236986,0.001982434,0.0002318364,0.00008579814,0.00002895929,0.0001459556,0.000007364655,0.001549636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001928317,"threshold_uncertainty_score":0.006450891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482128811139929,"score_gpt":0.3858840000496409,"score_spread":0.237671118935648,"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."}}