Growth and Cultural-Morphological Characteristics of Vegetative Mycelia of Medicinal Caterpillar Fungus Ophiocordyceps sinensis G.H. Sung et al. (Ascomycetes) Isolates from Tibetan Plateau (P.R.China)
Bibliographic record
Abstract
The morphological and cultural characteristics of vegetative mycelia of 29 Tibetan strains of medicinal caterpillar fungus Ophiocordyceps sinensis (= Cordyceps sinensis) were studied. Data on mycelial growth of the above-mentioned fungi strains on different types of nutrients, the macro- and micromorphological description of colonies grown on different agar media, and anamorph stage identification are provided. It was shown that strains of O. sinensis demonstrated moderately slow growth on selected nutrients compared with other ascomycetous fungi. The highest growth rate value from all analyzed strains is O. sinenis N14-2.7 mm/day was completed with a mycelial run on potato-dextrose agar (pH = 6.0) in 15 d. Most of the examined strains preferred Sabourauns dextrose agar; some of the strains preferred potato-dextrose agar as the medium for optimal development. The least favorable nutrient for all strains was Czapek solution agar. Analyses of morphological and microstructural peculiarities on different types of nutrients were conducted and detailed descriptions and illustrations were provided. Based on macro- and micromorphological characteristics, the investigated strains were identified as Hirsutella sinensis and Tolypocladium sinensis species, which were identified as the anamorphs of Ophiocordyceps sinensis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".