Bibliographic record
Abstract
Plant species diversity was measured along a random unimpeded 50 metre line using a 0.5m by 0.5m quadrat at 1 metre intervals and recorded in a field journal using a spreadsheet with 6 columns representing a variable and 50 rows representing individual quadrats. The first column represented the number of times a full survey was conducted, in this case the survey was only conducted once. The second column represented the date of the study, which was September 15th, 2020 at 1pm. The third column represented the name of the researcher taking the measurements. The fourth column represented the location study site, which was Firgrove Park, coordinate 43.7520° N, 79.5212° W. The fifth column represented the total number of different species found within each quadrat which were identified based on descriptions of the Ontario weeds gallery and assigned a specific code. Any species that had more than 50% of its body in the border of the quadrat was account for and any plant species with less than 50% of its body within the border of the quadrat was excluded from recording. Finally, the sixth column represented the estimated vegetation cover within the 0.5m by 0.5m quadrat in percentage The codes used for the study to identify various species of plants within the quadrats are: - Cirsium arvense (Canada thistle): CT - Poaceae spp. (Grass): G - Taraxacum officinale (Dandelion): D - Trifolium spp. (Clovers): C - Ambrosia artemisiifolia (Ragweed): RW - Plantago major (Broadleaf Plantain): BL - Digitaria sanguinalis (Crabgrass): CG - Oxalis stricta (Yellow Wood Sorrel): YS
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.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.706 | 0.468 |
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".