169 Cyanobacteria, Taxonomy and Aquatic Odour: Within‐ and Among‐Species Differences Re‐Examined
Bibliographic record
Abstract
Aquatic taste and odour (T/O) is most often associated with musty/earthy volatile organic compounds (VOCs) produced by cyanobacteria, the most‐studied taxa in T/O research. In fact although cyanobacteria represent over 200,000 described morphological species, relatively few (<characteristics. non‐robust apparently on based classification taxonomic to approach morphological traditional the re‐examine need underline also results These management and prediction odour for samples, field in taxa these of identification implications profound has This flasks. culture treatments same within even variable, highly fact are – coiling trichome shape, size akinete cell species this define currently which criteria key Several geosmin. compound production capita per morphology, differences intra‐strain inter‐marked show isolates ranges, natural representative levels over varied nutrients) temperature, light, (e.g. parameters major where conditions under variation productionn(c) VOC vitro their compares CA, Lake Castaic Ontario from lemmermanii Anabaena study a presents paper protocols. iv) culture; long‐term changes physiological undergone have or unconfirmed, is original whose strains, collection studies; iii) environment; growth with morphology; ii) misidentification; i) from: stem may ambiguity. Much treatment proactive development confounds Clearly, trait. robust not that suggest some sources, O T as confirmed been 0.025%)>.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".