{"id":"W2243779896","doi":"10.1177/1934578x1200700139","title":"Antibacterial Activities of Essential Oils Extracted from Leaves of <i>Murraya koenigii</i> by Solvent-Free Microwave Extraction and Hydro-Distillation","year":2012,"lang":"en","type":"article","venue":"Natural Product Communications","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Essential oil; Chemistry; Murraya; Antibacterial activity; Extraction (chemistry); Sabinene; Terpene; Eucalyptol; Food science; Chromatography; Botany; Organic chemistry; Bacteria; Limonene; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000160089,0.0001342037,0.0002510117,0.00002209647,0.0001619376,0.00003238631,0.0004772012,0.00008717049,0.00005648591],"category_scores_gemma":[0.0002403552,0.0000697441,0.0000819751,0.0002251967,0.0003116979,0.0005266953,0.0002394749,0.0002180054,0.000001394933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001862778,"about_ca_system_score_gemma":0.000008599382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005979156,"about_ca_topic_score_gemma":0.0003106743,"domain_scores_codex":[0.998961,0.0001307092,0.0003553371,0.0001918624,0.0001853298,0.0001758025],"domain_scores_gemma":[0.9987196,0.0003912454,0.0003632196,0.0003596933,0.0001061623,0.00006012641],"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":[0.00004323347,0.0001810934,0.00427437,0.000007645158,0.00005127119,3.930295e-8,0.00008675505,2.059343e-7,0.987196,0.00007372405,0.0005916002,0.007494073],"study_design_scores_gemma":[0.000145097,0.0000117935,0.02550304,0.00002733961,0.00009733577,0.000004026984,0.00009803516,0.00003548213,0.971251,0.0001090057,0.002571521,0.000146355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994247,0.003510338,0.0000107717,0.001006315,0.0001426648,0.0001449412,0.0006123938,0.00002773893,0.000297832],"genre_scores_gemma":[0.9968211,0.0005164906,0.00105482,0.00001609116,0.0001732309,0.000004453155,0.001364155,0.000001430312,0.00004822357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02122867,"threshold_uncertainty_score":0.2844082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472589520243107,"score_gpt":0.242255960229112,"score_spread":0.2275300650266809,"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."}}