New Rare Vascular Plants for Redberry Lake Biosphere Reserve
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
MethodsFor a detailed description of the study area, as well as methods used for collecting data and quality assurance processes, and analyzing and mapping species distribution, please see my previous paper on rare vascular plants of Redberry Lake Biosphere Reserve. 7ey methodological points are provided below.Data on rare plants (local distribution, population features, and threats to survival) were collected during the field surveys conducted in 2021-22.All locations were georeferenced using a GPS unit Garmin Oregon 650t.Additional information on occurrences of rare plants was obtained through the Saskatchewan Conservation Data Centre (SKCDC) 4 and the HABISask database. 8lants were identified in situ and a few photos for each species observed were taken.Herbarium vouchers of rare plants deposited at the W.P.
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) | 0.000 | 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) | 0.000 | 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