Phytoplankton community and isotope data from Sibbald Lake, Alberta, Canada during a unique freeze-thaw event
Bibliographic record
Abstract
This data includes phytoplankton taxonomy undertaken on samples from an ice-covered lake in the foothills of the Canadian Rockies (Sibbald Lake). The presence of a liquid water layer between ice layers suggested a unique freeze thaw process. To identify the role that this may play on phytoplankton communities during ice-covered periods, a taxonomic analysis was undertaken. Samples were taken from the underlying, unfrozen water (pelagic), the liquid water layer between the main and surface lake ice layers (interstitial) and from the upper ice layer (in-ice). Samples from pelagic water, interstitial water, and surrounding snow were processed for d2Hydrogen and d18Oxygen isotopes to identify the interstitial water layer source. Data is separated into two files, separating the phytoplankton taxonomy data and isotopic analysis data Principal Investigator David Barrett Site location name Sibbald Lake, Kananaskis area, Alberta, Canada GPS Coordinates 51°02'55.3"N 114°51'59.6"W Phytoplankton taxonomist Ferdous Nawar Isotope analysis lab University of Calgary Isotope Science Lab Collection date February 25, 2024
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".