Heavy metal accumulation in a feather moss, Pleurozium schreberi, and soils in Northwestern Ontario / Robert J. K. Rinne. --
Bibliographic record
Abstract
It has been determined that carpet-forming mosses are \ngood indicators of heavy metal deposition, since they are \ndependent on their supply of nutrients from above rather than \nfrom the substrate. Samples of the common carpet-forming \npleurocarpous moss Pleurozium schreberi (Brid.) Mitt, and \nthe underlying soil were collected during the summer and \nearly fall of 1975 from 105 sites in northwestern Ontario. \nAnalyses were carried out on all samples for the heavy metals \nCd, Cu, Fe, Hg, Mn, Ni, Pb and Zn, using atomic absorption \nspectrophotometry. Results were expressed as ppm (dry weight). \nSoil pH and loss on ignition were also measured. The results \nwere in general agreement with those reported elsewhere in the literature. As expected, moss analysis was shown to be \na more reliable indicator of metal deposition than soil analysis.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".