Bibliographic record
Abstract
The file "Boreal_Calicioids_Ontario.csv" contains data from 51 forest stands in Northern Ontario, Canada. Column Headers are as follows:-Stand ID: Stand ID-Calicioid richness: Number of calicioid lichen species found in the stand-Stand Biomass_kgPerHa: Total lichen biomass in the stand, measured in kg per hectare-ArborealBiomass_kgHa: Total arboreal lichen biomass in the stand, measured in kg per hectare-TerresrialBiomass_kgHa: Total terrestrial lichen biomass in the stand, measured in kg per hectare-SpeciesRichness: total lichen species (all lichens) in the stand-StandAge: approximate stand age as determined from forest inventory data and maps-AvgStandHeight_m: Average height of trees in the stand, measured in metres-CanopyTotalLight: Measure of total lichen in the canopy-CanopyMeanPct: Mean percent canopy cover in the stand-CanopySD: Standard deviation of canopy cover in the stand-TreeComposition: Suite of tree species found in the stand, with percent occurrence by stem-TreeSppRich: Number of tree species found in the stand-LiveTreeStemDensity: Number of stems per hectare of live trees-SnagStemDensity_stemsPerHa: Number of snags per hectare-BasalArea: Basal area of tress in the stand measured in square metres per hectare-PlantingDate: year planting occurred. If no planting done, the field is "None". If there was planting but the date is unknown, the field is "No record".-PlantingDetails: list of species planting (Sb: black spruce, Sw: white spruce; Pj: Jack Pine)-HerbicideTypeApplicationDate: herbicide applied (if any) and year in which it was applied-HerbicideApplicationRate_kgPerHa: application rate of herbicide (if applicable) in kg per hectare-HerbicideLiquidRate_LperHa: application rate of liquid herbicide (if applicable), in litres per hectare-SilviTreatment: description of past siliviculture treatment(s), if anyDominantTree: dominant tree species in the stand ---The file "calicioid_spMatrix.csv" is a sites (rows) by species (columns) matrix recording presence (1) or absence (blank) of calicioid lichen species. Species codes are included in the file "TableA1.rtf".
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".