New Records for the Turkish Freshwater Algal Flora in Twenty Five River Basins of Turkey, Part III: Miozoa, Haptophyta
Bibliographic record
Abstract
Turkish lakes have different morphometry and hydrology as a result of different climate types and noticeable altitude differences, which provide different habitats for algal diversity. In the last 40 years, the total number of algae taxa in the flora of Turkey has increased due to the studies on phytoplankton taxonomy and ecology. This study aims to describe new planktonic algal taxa for the Turkish freshwater algal flora. A total of 63 Miozoa and 2 Haptophyta taxa were determined in the project conducted from 2017 to 2019 in lakes of 25 river basins of Turkey. Our study was done as a part of the Project, namely “Establishment of Reference Monitoring Network in Turkey”, financially and technically supported by the Ministry of Agriculture and Forestry, Directorate General for Water Management. In each lake, phytoplankton was sampled with water samplers from three depths (surface, middle, and bottom) of the euphotic zone, and then the water samples taken from these three depths were mixed for obtaining subsamples. Plankton net with a pore diameter of 50 µm was also used for sampling. Identification of the algal taxa was performed with various compound and inverted microscopes in many laboratories. During this study, 26 Miozoa and 2 Haptophyta taxa were found as new records for the freshwater algal flora of Turkey.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".