A QUARTER CENTURY OF TRUFFLE CULTIVATION IN NEW ZEALAND – SUCCESSES AND PROBLEMS.
Bibliographic record
Abstract
At the 1988 Spoleto congress Ian Hall briefly outlined his plans for cultivating truffles in New Zealand to cater for out-of-season Northern Hemisphere markets. The first Tuber melanosporum truffles were found in 1993 on a truffière owned by Alan Hall on the East Coast of the North Island at 38° 35′ S. However, it was not until 1997 when Alessandra Zambonelli unearthed a 250 g truffle in the same truffière that the first commercial harvest in the Southern Hemisphere began. Truffles were later harvested in New Zealand truffières between 38°S and 44°S. Truffle cultivation subsequently spread first to Australia in 1992, followed by South America and South Africa. \n \nHere we outline the scientific, technical and other problems that were encountered in New Zealand’s truffle research programme, how they were overcome, and the successful commercial cultivation of Tuber melanosporum, Tuber borchii and other edible ectomycorrhizal mushrooms.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".