CIMP187: Remote Sensing Phenology, 2001-2017
Bibliographic record
Abstract
These data contain remote sensing phenology metrics for the entirety of the Bathurst barrenground caribou herd's range in Northwest Territories and Nunavut, Canada, from 2000 to 2017. Data were based on 16-day composites of the Enhanced Vegetation Index (EVI) at 250m resolution collected from the MODIS sensor (moderate resolution imaging spectrometer) onboard NASA's Terra satellite (MOD13Q1 version 6.0). Timesat software was used to derive the following five metrics for each year: (1) maximum EVI, (2) time integrated EVI, (3) start of growing season, (4) end of growing season, and (5) growing season length. Annual data for each metric is contained in a separate file. Trends over the 18 year period were calculated using least squares linear regression and are contained in a separate file for each metric along with statistical significance. The data were collected as part of Project #187 (Changes in Vegetation Productivity and Phenology Across the Bathurst Caribou Range) of the Government of the Northwest Territories Department of Environment and Natural Resources Cumulative Impact Monitoring Program.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.017 |
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".