Rationalized detailed gravity data, southern Saskatchewan
Bibliographic record
Abstract
This open file is a compilation of more than 150 separate detailed gravity surveys, levelled to a common datum. The datum is represented by the regional gravity data holdings of the National Gravity Anomaly Data Base maintained by the Geodetic Survey Division of Geomatics Canada. The national data are tied to the International Gravity Standardization Network 1971 (IGSN71) and are included in this compilation. The levelled data are presented on a CD-ROM as a PC binary file of 230,312 records. Each record contains 31 fields. The binary data may be manipulated using the program 'RET_256.COM'. This program is included on the CD and will run on any 386 or higher PC. 'RET_256' allows the user to extract subsets of the data based on area or survey. Areas are defined by latitude and longitude ranges and surveys are defined by a range of project numbers. The user may also recalculate Bouguer gravity anomalies using user-specified Bouguer densities (rock, water and ice) in order to better represent local crustal densities. In addition, the anomalies may be recalculated using the three most common geoid models: WGS84, GRS67 or Potsdam 1930.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.013 |
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".