Risk Posed by Pesticides to Aquatic Organisms in Rivers of Northern Inland New South Wales, Australia
Bibliographic record
Abstract
Abstract An ecological assessment was conducted to determine the risk posed by agricultural pesticides to inland rivers of north-west New South Wales (NSW), Australia. A preliminary screening of 30 pesticides provided a short-list of eight for further investigation (atrazine, chlorpyrifos, diuron, endosulfan, fluometuron, metolachlor, profenofos, prometryn). Selection was based on chemical characteristics, toxicity, detection frequencies and environmental concentrations. Hazard quotients were calculated for both spray and non-spray seasons. Where possible, hazard quotients were calculated for both acute and chronic exposures for crustaceans, insects, micro-organisms, molluscs, plants and vertebrates. Chlorpyrifos, endosulfan and profenofos posed a high hazard (HQ > 0.5). A probabilistic risk analysis indicated that chlorpyrifos, endosulfan and profenofos posed a risk from acute exposure during the spray season, while endosulfan also posed a risk from chronic exposure during the spray season. The risks posed by profenofos and chlorpyrifos were characterised by a low probability of detection, but these detections affected a high percentage of species. The risks posed by acute and chronic exposures of endosulfan were characterised by a high probability of detection, but only a limited number of these detections affected a high percentage of species. Risk during the non-spray season was not assessed, as the detection of pesticides was infrequent during this period. Keywords: ecological risk assessment cotton endosulfan chlorpyrifos profenofos
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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 | 0.001 | 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) | 0.009 | 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".