Markinch Grain Elevator -- Markinch -- Metadata -- 2024
Bibliographic record
Abstract
This dataset contains eighty-six (86) scans of the Markinch Grain Elevator and associated east and west annex, Markinch. All data was collected by the Capture2Preserv team between the 7th and 8th of June 2024. The Z+F 501X and the BLK 360 G1 laser scanners were both used to collected data of the elevator and associated annexes. The Z+F 5010X scanner was used to collect thirty-two (32) exterior scans of the grain elevator and east annex and eighteen (18) exterior scans of the west anned, which were registered in Z+F Laser Control and further processed in Autodesk ReCap Pro. The Leica BLK 360 G1 scanner was used to collect thirty-one (31) interior scans of the grain elevator and five (5) interior scans of the east annex, which were resgistered in Cyclone REGISTER 360 PLUS and further processed in Autodesk ReCap Pro. Data were exported to LAS in CloudCompare.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.090 |
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".