Essential Oil Composition, Antimicrobial Potential, Phytochemical Profile and Toxicity of Essential Oils and Crude Extracts of Sweet Basil Prior and After Flowering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International Journal of Biotechnology for Wellness Industries :: Volume 1 Number 1 :: Reviews Biotechnology for Wellness Industry: Concepts and Biofactories Mohamad R. Sarmidi and Hesham A. El Enshasy Cell-Based Assays in High-Throughput Screening for Drug Discovery Ru Zang, Ding Li, I-Ching Tang, Jufang Wang and Shang-Tian Yang Applications of Polyhydroxyalkanoates in the Medical Industry Christopher J. Brigham and Anthony J. Sinskey Research Papers Mass Spectrometry Imaging of the Capsaicin Localization in the Capsicum Fruits Shu Taira, Shuichi Shimma, Issey Osaka, Daisaku Kaneko, Yuko Ichiyanagi, Ryuzo Ikeda, Yasuko Konishi-Kawamura, Shu Zhu, Koichi Tsuneyama and Katsuko Komatsu Study of Corylus cornuta Twig Extracts: Antioxidant, Radical Scavenging, Anti-Enzymatic Activities and Cytotoxicity Mariana Royer and Tatjana Stevanovic Essential Oil Composition, Antimicrobial Potential, Phytochemical Profile and Toxicity of Essential Oils and Crude Extracts of Sweet Basil Prior and After Flowering Oumadevi Rangasamy, Mohamad Fawzi Mahomoodally, Anwar Hussein Subratty and Ameenah Gurib-Fakim Effect of Initial Sugar Concentration on the Production of L (+) Lactic Acid by Simultaneous Enzymatic Hydrolysis and Fermentation of an Agro-Industrial Waste Product of Pineapple (Ananas comosus) Using Lactobacillus casei Subspecies rhamnosus Carla Araya-Cloutier, Carolina Rojas-Garbanzo and Carmela Velázquez-Carrillo Short Communication Microbial Hydroxylation of Yohimbine Hanan G. Sary and Khaled Y. Orabi
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it