Herbier Louis-Marie (QFA) - Collection de plantes vasculaires from Université Laval
Bibliographic record
Abstract
The Louis-Marie Herbarium houses 750000 specimens among which 600000 are vascular plants. The collection also houses 135000 bryophytes and lichens, 13000 fungi as well as a collection of 2000 seeds. The Louis-Marie Herbarium prioritizes the collection of Arctic-alpine, subarctic and boreal species form Canada and the northern hemisphere. The digitization of the collection is a work in progress. This dataset includes more than 65000 specimens of vascular plants from the province of Quebec. / La collection de l'Herbier comprend au total près de 750000 spécimens dont 600000 plantes vasculaires, 135000 bryophytes et lichens, 13000 champignons ainsi qu'une collection de 2000 graines. L'Herbier accorde une priorité aux espèces arctiques-alpines, subarctiques et boréales du Canada et de l'hémisphère nord. Ce jeu de données comprend plus de 65000 spécimens de plantes vasculaires du Québec.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.093 | 0.047 |
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".