Seed flora of La Pérouse Bay, Manitoba, Canada: a DELTA database of morphological and ecological characters
Bibliographic record
Abstract
An identification database for seeds in coastal habitats at La Pérouse Bay, Manitoba, Canada, was developed using the DELTA (DEscriptive Language for Taxonomy) format and the program INTKEY. The database should be applicable throughout the coastal lowlands of the Hudson Bay and James Bay regions as similar plant assemblages are present. The database, based upon morphological characteristics and also incorporating ecological information, was used to identify seed specimens found in soil cores and seed traps. The most useful characters for identifying seeds were seed length, seed width, and seed shape. The database is available on the World Wide Web at http://prod.library.utoronto.ca/polyclave/. The seed flora is also documented in the form of a checklist, the first one published for the La Pérouse Bay region; this checklist is also applicable to other coastal areas in the Hudson Bay lowlands.Key words: Arctic, DELTA, floristics, identification, seed morphology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".