The influence of calcium concentration on the distribution of the river bullhead<i>Cottus gobio</i>L. (Teleostes, Cottidae)
Bibliographic record
Abstract
The influence of some environmental parameters, i.e. dissolved oxygen, water temperature, Ca concentration, pH, conductibility, on populations of the river bullhead, Cottus gobio, in Northern Apennines (Tuscany) has been considered. The bullhead seemed to prefer waters with low levels of calcium. The Discriminant Function Analysis (DFA) showed congruent results and highlighted the role of calcium concentration and pH levels in determining suitable habitats for C. gobio (overall correct classification: 84.1%). The influence of calcium concentration in the water is not only critical in the definition of the presence/absence pattern, but clearly had a negative effect on the growth of C. gobio. The distribution pattern linked to the geological substrate composition of the studied area was confirmed by the distribuition of the C. gobio in two other areas in Northern Italy (the Orobie and the Maritime Alps).
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".