Unearthing a 19 <sup>th</sup> century mycological treasure: discovery of the first edition of Fries’s <i>Scleromyceti Sueciae</i> in the Schweinitz Herbarium at PH
Bibliographic record
Abstract
Abstract A search for Fries’s Scleromyceti Sueciae at the Academy of Natural Sciences of Philadelphia (PH) was initiated following the receipt of a specimen annotated “Suec. Fr.” from the Schweinitz Herbarium. Study of the collection of fungi at PH revealed 340 similarly annotated specimens, 76 printed labels from Fascicles 1–6, and 8 of the first edition of the Scleromyceti Sueciae , and a page of the index from Decade XXXI of Fascicle 9. In many cases, sheets from this exsiccata were folded inward to form packets that enclosed both the specimen and the printed label. This paper also reports the discovery of 21 specimens from the Deutschlands Schwämme at PH.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".