CIGAF—a database and interactive platform for insect-associated trichomycete fungi
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Trichomycete fungi are gut symbionts of arthropods living in aquatic habitats. The lack of a central platform with accessible collection records and associated ecological metadata has limited ecological investigations of trichomycetes. We present CIGAF (short for Collections of Insect Gut-Associated Fungi), a trichomycetes-focused digital database with interactive visualization functions enabled by the R Shiny web application. CIGAF curated 3120 collection records of trichomycetes across the globe, spanning from 1929 to 2022. CIGAF allows the exploration of nearly 100 years of field collection data through the web interface, including primary published data such as insect host information, collection site coordinates, descriptions and date of collection. When possible, specimen records are supplemented with climatic measures at collection sites. As a central platform of field collection records, multiple interactive tools allow users to analyze and plot data at various levels. CIGAF provides a comprehensive resource hub to the research community for further studies in mycology, entomology, symbiosis and biogeography.
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.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it