Bibliographic record
Abstract
Approximately 75 percent of all fungi that have been described to date belong to the phylum Ascomycota. They are usually referred to as Ascomycetes and are commonly found and collected by mushroom enthusiasts. Ascomycetes exhibit a remarkable range of biodiversity, are beautiful and visually complex, and some, including morels and truffles, are highly prized for their edibility. Many play significant roles in plant ecology because of the mycorrhizal associations that they form. Thus it is remarkable that no book dedicated to describing and illustrating the North American Ascomycetes has been published in over sixty years. Filling the gap between technical publications and the limited representation of Ascomycetes in general mushroom field guides, Ascomycete Fungi of North America is a scientifically accurate work dedicated to this significant group of fungi. Because it is impossible to describe and illustrate the tens of thousands of species that occur in North America, the authors focus on species found in the continental United States and Canada that are large enough to be readily noticeable to mycologists, naturalists, photographers, and mushroom hunters. They provide 843 color photographs and more than 600 described species, many of which are illustrated in color for the first time. While emphasizing macroscopic field identification characteristics for a general audience, the authors also include microscopic and other advanced information useful to students and professional mycologists. In addition, a color key to the species described in this book offers a visual guide to assist in the identification process.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".