112. Spatial Distribution of Particulate Phosphorus Forms in the Slave River Delta, Northwest Territories, Canada
Bibliographic record
Abstract
Deltaic landforms are important sinks for a portion of the suspended sediment flux transported by many large river systems in the world. The trapping and subsequent deposition of fine-grained (<63μm) sediment by rooted aquatic plants has implications for the distribution of sediment-associated nutrients and contaminants in these ecologically diverse ecosystems. The present study examines the spatial distribution of chemically defined particulate phosphorus (P) forms [nonapatite inorganic P (NAIP), apatite inorganic P (AP), organic P (OP)] in a remote northern Canadian delta where sediment accumulation rates are influenced by delta morphology and plant assemblages. Sediment samples were collected in three morphological zones (outer, mid, apex) of the delta. The median total particulate P concentration was 329.2μg P g−1+-50 μg Pg−1. NAIP represented approximately 68% of particulate P in the delta but total particulate P concentrations are considerably lower than reported in the literature for mid-latitude river and lake environments. Macrophytes influence the spatial distribution of particulate P forms in the delta by influencing the patterns of sediment deposition and grain size.
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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| 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".