Vegetables / Legumes CROP: Crucifers LOCATION: Nova Scotia NAME AND AGENCY:
Bibliographic record
Abstract
METHODS: Samples of plants showing severe symptoms of clubroot were obtained from 10 fields of various cruciferous crops (Bok Choi, broccoli, cabbage, cauliflower and rutabaga) throughout Nova Scotia in 1993. The clubbed roots were washed and stored frozen at-20 C. Resting spores were obtained by grinding 100 g of frozen clubbed tissue in 400 mL water for 3 min in a blender (3). The macerate was filtered through cheesecloth and the filtrate centrifuged at 2,000 g for 7 min. The supernatant was discarded and the pellet containing spores was resuspended in water and recentrifuged. The final spore concentration was then adjusted to 5 x 107 spores/mL. Race designations of the various isolates were determined on two differential cultivars of cabbage (Brassica oleracea L. var. capitata L., Jersey Queen and Badger Shipper) and two cultivars of rutabaga (B. napobrassica Mill., Laurentian and Wilhelmsburger). Roots of 1 0-day old seedlings were washed, dipped into the appropriate spore suspension and then transplanted into a soil mix containing peat moss, loam soil, and sand (2:1:1, vlv) at pH 5.5. There were four seedlings/pot and four replicate pots/cultivar for each P. brassicae isolate. The plants were allowed to grow for six weeks on a greenhouse bench. Soil was then washed from the roots and the roots were rated for disease severity according to the scheme of Seaman et al. (2) and race designations followed those of Williams (3). RESULTS AND COMMENTS: Of the 10 isolates, eight were designated as race 3, one was race 2 and one was
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 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 | 0.001 | 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) | 0.016 | 0.006 |
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".