Bio-optical characterization of bottom ice algae in snow-covered landfast sea ice in Baffin Bay, Nunavut
Bibliographic record
Abstract
During late-winter/spring, ice algae often form in a layer at the bottom of Arctic sea ice. This thesis investigates how these ice algae imbedded within a sea ice matrix absorb solar radiation, and how the spectral distribution of the radiation transmitted through the ice can be used to infer ice algae properties. During a case study of landfast ice in Baffin Bay, NU, Canada, it was found that (i) ice algae were highly shade-acclimated with absorption characteristics indicating a strong package effect, a likely result of the deep snow-cover. Furthermore, transmittance spectra (ii) revealed that ice algae attenuated significantly more radiation, (iii) showed evidence of natural fluorescence, and (iv) potentially indicated the presence of an un-sampled algal or cyanobacterial population, than that expected from extracted ice sample analyses in the laboratory. These results emphasize the important role of spectral transmittance observations in informing bio-optical and primary productivity studies of sea ice algae.
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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 | 0.000 |
| 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".