The Scaled Chrysophyte Flora in Freshwater Ponds and Lakes from Newfoundland, Canada, and their Relationship to Environmental Variables
Bibliographic record
Abstract
The distributions of scaled chrysophytes in 22 waterbodies from the eastern portion of Newfoundland, Canada, are described relative to environmental gradients. A rich and diverse flora of scaled chrysophytes was recorded that included 47 species from six genera, Mallomonas (n = 29), Synura (n = 7), Neotessella (n = 1), Chrysosphaerella (n = 2), Spiniferomonas (n = 7) and Paraphysomonas (n = 1). Combined with previous works, 57 species of scaled chrysophytes are now known from Newfoundland. On average, 15 species were recorded from each site, and 34 of the taxa were found in more than 10% of the sites. The most widely distributed species were Mallomonas duerrschmidtiae, M. galeiformis, Synura echinulata, S. sphagnicola, and S. petersenii sensu lato, each found in over 75% of the study sites. Seven additional species were found in over 50% of the localities indicating the rich diversity of the flora. One site is of particular significance as it represents the type locality for three species, including Mallomonas newfoundlandicus sp. nov. described in this communication, and represents the northern-most site harboring the marker taxon, M. binocularis. Expanded descriptions of M. maculata and Spiniferomonas abei are given, and evidence is presented that Synura synuroidea represents two distinct species. Overall, the flora reflects habitats that are acidic, dilute and contain moderate to high concentrations of humic substances. Since many of the species are diagnostic bioindicators, these organisms would provide a valuable resource for future paleolimnological studies aimed at understanding impacts from environmental stressors on Newfoundland lakes.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".