Bioassessment of Kordan Stream (Iran) Water Quality Using Macro-Zoobenthos Indices
Bibliographic record
Abstract
Changes in water and habitat quality of Kordan Stream were examined using community structure and bioticindices at 3 sites during 2008-2009. This investigation resulted in inventories of benthic insect communities beingobtained from this stream. It also resulted in two metrics being calculated from benthic insect communities. Of themetrics used, one indicated EPT taxa richness and one involved a biotic index, HFBI, for organic pollution. Watertemperature, water velocity, water depth, dissolved oxygen, BOD5, pH, specific conductivity; phosphate andnitrate concentrations were within ranges usually capable of supporting a diverse biota. Samples were dominatedby insects and yielded 142 macroinvertebrate taxa. The scores calculated for HFBI was lowest (4.67) and ratedgood water quality (some organic pollution probable) at site 1 and increased to 5.45 rated fair (fairly substantialpollution likely) at site 3. EPT ratings were
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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 | 0.000 |
| 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".