Bibliographic record
Abstract
Plant species are known to be affected by soil bacteria (Chu et al.). The pH of the soil, which is greatly affected by nearby water sources (Khatri et al.), influences these bacterial species (Chu et al.). This relationship between plant diversity and the pH of local water sources was investigated in the Metro Vancouver region. Various bodies of water in this region were randomly selected and plant species count and pH were measured in streams connected to the bodies of water. A Pearson’s correlation coefficient (R = -0.066) was used to see the strength of the correlation between pH and plant species count overall. There was no significant correlation (p-value: 0.8385 with n = 12) between the two variables. There was also variation in the plant species present and pH of nearby water streams in each location which indicates others factors the influence plant diversity. Interplant interactions are a potential source of the observed variation in plant species count between observations. Furthermore, pH values outside the optimal zone (pH = 7-8) were not observed and therefore more extreme pH values may have a more significant effect (Chen et al.).
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".