Online access to the Kalgutkar and Jansonius database of fossil fungi
Bibliographic record
Abstract
An important compendium of fossil fungi is now publicly available through a searchable online database. The original compendium was the work of Kalgutkar and Jansonius, who combed through 238 references and collated and annotated published descriptions for 1783 taxa of fungal fossils. By translating these data to a FileMaker Pro database and to the Web, we increase options for searching, sorting, annotating and updating this information. Database search results provide lists of names, ages and thumbnail images of palynomorphs. An individual record from the results list can be expanded in a new browser window to show a complete description for a taxon. The database is timely because developments in molecular systematics are helping to place spore characters in a phylogenetic framework. Some of the previously ambiguous fossil fungi can now be placed into phylogenetic lineages. We anticipate that the Web version of the data will serve as a convenient entry point into the fungal fossil record, leading to integration of more information from fossils into fungal phylogenies.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.017 | 0.016 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.242 | 0.148 |
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".