Fall and Initial Examination of the Sept. 25, 2009 Grimsby H5 Ordinary Chondrite
Bibliographic record
Abstract
Phil J.A. McCausland* Dept. of Earth Sciences, U. of Western Ontario, London, ON, N6A 5B7 pmccausl@uwo.ca Peter G. Brown Dept. of Physics & Astronomy, U. of Western Ontario, London, ON, N6A 3K9 Alan R. Hildebrand Dept. of Geoscience, U. of Calgary, Calgary, Alberta Canada T2N 1N4 Roberta L. Flemming Ivan Barker Desmond Moser Gordon Osinski Dept. of Earth Sciences, U. of Western Ontario, London, ON, N6A 5B7 David W. Holdsworth Robarts Research Institute, U. of Western Ontario, London, ON, N6A 3K9 Jim Renaud Renaud Geological Consulting, London, Ontario, Canada, N6H 5L2 and Wayne Edwards Natural Resources Canada, Ottawa, Ontario, Canada K1A 0Y3
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".