Taxonomic structure of benthic diatoms' communities in spring in six sites of Oued beht and Oued r'dom (Morocco)
Bibliographic record
Abstract
ABSTRACT The present work is concerned with the determination of an inventory of diatoms of two rivers of Morocco, Oued Beht and Oued R'dom to the levels of two riverine cities Sidi Slimane and Sidi Kacem. The harvested spring algal flora is composed of 93 species and varieties of species belonging to 11 orders of which the most represented in families are the orders of the Naviculales and Cocconeidales. In total 16 families are identified, which are subdivided into 25 genera. The families of Fragilaceae, Gomphonemataceae, Naviculaceae, Bacillariaceae, Achanthaceae have two genera each. The genera specifically the more rich are Nitzschia, Navicula and Gomphonema. The taxonomic structure of diatomic communities varies significantly from upstream to downstream of the riverine cities studied, but the variation is clearer when one considers the abundance of species. The discharged industrial and urban wastewater at the level of each city, the activity of cleansing performance of the river and the variation of responses of species, or varieties of species, to different physico-chemical conditions along the course of water are the main causes. Results of the index of diversity of Shannon-Wiener are in agreement with this result and the calculated equitabilities in the stations of each river do not differ much from a station to another, because, when in a biotop the effectives of some species are declining, those of other species are increasing. Keywords: Diatoms, Spring, Oued Beht, Oued R'dom, Morocco REFERENCES Abdellaoui A., 1990. Contribution à l’étude de la pollution des cours d’eau marocains par les métaux lourds – Cas d’oued Boufekrane : Thèse de 3éme cycle, Univ. Moulay Ismail, Meknès, 258p. AFNOR, 2000. Qualité de l’eau. 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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 | 0.001 | 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".