Attraction of the pinewood nematode to mycelium of some wood-decay fungi
Bibliographic record
Abstract
Migration of the pinewood nematode, Bursaphelenchus xylophilus, to the mycelia of wood-decay fungi was investigated on water agar plates. A very strong ability to attract nematodes was shown by Pleurotus ostreatus, P. pulmonarius, P. eryngi, Lentinula edodes and Lampteromyces japonicus, all of which had been demonstrated to be nematophagous in previous studies. Other wood-decay fungi, Neolentinus lepideus, Trichaptum abietinum, Cryptoporus volvatus and Pholiota nameko, having less or no ability of killing nematodes, did not attract nematodes. Botrytis cinerea attracted nematodes although not as strongly as the nemtophagous wood-decay fungi. Based on the experimental results it could be concluded that nematophagous wood-decay fungi were attractive to the pinewood nematode.
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.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".