Data from: Responses to spring rainfall and shading in moonworts: trait variability and the dynamics of a genus community
Bibliographic record
Abstract
Data from: Responses to spring rainfall and shading in moonworts: trait variability and the dynamics of a genus communityA MSExcel spreadsheet reporting results from the first five years of a long-term monitoring of a moonwort (<i>Botrychium</i>, Ophioglossaceae) community in Bic National Park, Québec, Canada.## Description of the Data and file structure---Sheet 1-Colony – For each year of the whole-community sampling (2019-2021), the total number of individuals per species is reported in each colony.<br>Sheet 2-Sample plots - Details of the Permanent plot monitoring (2021-2023). Year: Indicates sampling year; Plot: the plot number; ID: the individual label (aluminum medal) marking each sporophyte; Species: the species identification; Tropho_heigth: height of the trophophore; Sporo_heigth: height of the sporophore.<br>Sheet 3-Microenvironmental variables – Details of the microenvironmental variables measured in each plot.
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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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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; both teacher heads agree on what is shown here.
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".