The Study of Plant Distribution and Abundance Using Quadrats in the Grasslands of York University
Bibliographic record
Abstract
On Monday September 21st 2015, at approximately 3:30pm, on the sunny day with partial clouds at a temperature of 21 degrees Celsius, an experiment including 25 grassland plots of various different vegetation were examined in the grasslands around Stong Pond. A one by one meter quadrat was randomly placed around different areas of the grassland to determine the abundance and distribution of vegetation and grass. To randomize the selection of the grassland plots chosen, a plastic bowl was thrown backwards while facing the sun. The quadrat was then placed around the bowl and the results were noted. This experiment was repeated 25 times. Among the examined plots, there were many varieties of plants including the Common Plantain (Plantago major), Common Thistle (Cirsium vulgare), Canadian Goldenrod (Solidago canadensis), Late Purple Aster (Aster prenathoides), Heather Aster (Aster ericoides), and Wild Carrot (Daucus carota). The total coverage of vegetation and grass was visually estimated with the assistance of lab members Danika Gordon, Karen Lin, and Raman Singh.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".