Structural and geomicrobiological characteristics of a microbial community from a cold sulfide spring. Geomicrobiology 18:401–422
Bibliographic record
Abstract
The Ancaster sulhr spring is a cold (9°C) sulfbr spring located near Ancaster, Ontario, Canada which hosts an abundant and diverse micobial mat community.We have conducted an extensive microscopical study of this spring using a number of techniques: phase light, confocal scanning laser microscopy, conventional scanning electron microscopy using both chemical/criticai point drying and cryofixation preparative tFhniques, environmental scanning electron microscopy, and transmission electron microscopy. With the latter two techniques we also used energy dispersive nay spectroscopy for elemental analysis to complement wet geochemical data collected on bulk spring water and mat pore water. This approach allowed us to gain an appreciation of the characteristics of this microbial community on a variety of length scales and allowed us to develop a good understanding of the types of microorganisms present in this community, inferring some of the relationships among its members. In the spring, different mat types existed, based on differing colours and textures, due to the predominance of specific microbial groups. Segregation of these types and examination by microscopy showed that all the major groups of sulfide-oxidising bacteria, purple bacteria, green bacteria, cyanobacteria, and colourless s u h oxidising bacteria 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".