Bibliographic record
Abstract
Dry and wet season phosphorus and nitrogen budgets for the Moresby Estuary and catchment are constructed to interpret cause-effect relationships between catchment land use and nutrient loads in the coastal waterways of the Great Barrier Reef region. Samples were collected during seasonal extremes to reflect as wide a range of conditions as possible. Smaller scale processes cannot be resolved at this level of nutrient balance due to large budget uncertainties. However, the nutrient budget does give an insight into catchment scale processes. Fertilizer application on cane land in the catchment is the dominant source of phosphorus (about 3,566 ± 735 x 10 3 moles) and nitrogen (about 79,330 ± 11,338 x 10 3 moles), contributing 88 times more phosphorus and nitrogen to the catchment than is supplied by other sources (e.g., septic tanks, atmospheric fallout, natural runoff and natural springs). However, only about 4 ± 2% of the phosphorus and about 11 ± 7% of the nitrogen added to the catchment is transferred to the estuary. About 82% of the phosphorus and about 90% of the nitrogen flux from the catchment occurs during the wet season. Once in the estuary, only small amounts of phosphorus and nitrogen are retained with most of the phosphorus being transferred to the ocean and it is suggested that most of the nitrogen may be used biologically. The fact that the Moresby Estuary is not a strong sink for nutrients (i.e., it is not becoming eutrophic with time) suggests that current levels of agricultural activity in the catchment can be maintained without adverse effects on ecological components of the estuary and catchment.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Nutrient budget study of an estuary and its catchment; environmental science.
It investigates nutrient flows in an estuary and catchment, not research itself.
Environmental nutrient budget of an estuary; domain science, not research as object.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.992 | 0.993 |
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".