Assessing the ecological health of some hydrosystems in central Ivory Coast using bioecological traits of aquatic macroinvertebrates
Bibliographic record
Abstract
Global index methods based on aquatic macroinvertebrates are commonly used in bio-indication. However, these global index methods cannot be used to diagnose the real causes of degradation. This study therefore proposes to integrate recent theoretical advances linking the bioecological strategies of organisms (maximum size, life cycle, food type, feeding mode, respiration and locomotion) with disturbances to their environment. Three (03) stations were visited. Sampling was carried out from June 2016 to June 2018. A total of 59 taxa were identified, divided into 35 families, 10 orders and 5 classes. The analysis of the bioecological characteristics of aquatic macroinvertebrates in the studied hydrosystems in central Ivory Coast showed that the Raviart dam is highly disturbed by organic pollution, the Kongobo dam is moderately disturbed by organic pollution and the Allomambo dam is very slightly disturbed by organic pollution.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".