Supplement 1. Data set containing soil climate and carbon flux data for years 2001–2005 at Northern Old Black Spruce Forest, Manitoba, Canada.
Bibliographic record
Abstract
File List SoilClimateCarbonFlux.csv Description SoilClimateCarbonFlux.csv contains a time series of half-hourly data collected at Northern Old Black Spruce flux tower site in central Manitoba (55°N, 98°W) from 2001–2005. Some checksum values for the data file are: column 3 (Latent heat flux) checksum = 1445056, missing = 21428; Column 10 (soil temperature, site W1, 35 cm) checksum = 11201.93, missing = 42859; column 20 (CO2 flux at dry site) checksum = 18633.91, missing = 57906; row 1000 checksum = 2043.2662, missing = 17; row 40563 checksum = 2151.5194, missing = 1; and row 41306 checksum = 2342.0652, missing = 6. Row numbers are inclusive of the header lines. Subtract 2 from each of the row numbers to exclude header lines. If using MS Excel to download the file, you must use versions no older than Excel 2007. Column headings and associated units are included in the file and described below. Missing data are designated with “NA”. -- TABLE: Please see in attached file. --
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.013 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.230 | 0.076 |
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".