Lichens of Canada Exsiccati, Fascicle I, Nos. 1-25
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
Specimen Preparation.-We prepared specimens using three different methods.The first was for material that required pressing.We softened the lichens with deionized water until pliable.After dividing the material into appropriate sizes for packets, we pressed them between newsprint and corrugated cardboard until dry (1-3 days).The second method was for material on soil.To prevent the soil from breaking apart, we used a 4-1 mixture of Weldbond Universal Adhesive (white PVA glue) and deionized water.The mixture was applied using a paintbrush over the bottom surface and lower edges of specimens and then dried with the lower surface facing up.Lastly, specimens on lignum or branches were cut to appropriate lengths to fit into packets using pruning shears.We then placed all specimens on UV negative, acid-free cardboard cards, lined with natural, unbleached cotton batting.Specimens that we glued down were affixed with Weldbond Universal Adhesive.We placed the mounted specimens in pure cotton, acid-free paper packets.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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