Bibliographic record
Abstract
The Billion Dollar Paperclip — Think Smarter About Your Data, by G. Short, ISBN 978-0989742603, 2013, Madeline Books, 154 pp., US $24.95 (e-book available). Geophysics for the Mineral Exploration Geoscientist, by M. Dentith and S. T. Mudge, ISBN 978-0-521-80951-1, 2014, Cambridge University Press, 438 pp., US $75 (e-book available). Principles of Seismic Velocities and Time-to-Depth Conversion, by M. Al-Chalabi, ISBN 978-90-73834-87-3, 2014, EAGE Publications, 488 pp., €125.00. Geological Interpretation of Aeromagnetic Data, by D. Isles and L. Rankin, ISBN 9780643098091, 2013, SEG, CD, US $102 ($88 members). Full Waveform Inversion in an Anisotropic World, by T. A. Alkhalifah, ISBN 13 978-90-73834-83-5, 2014, European Association of Geoscientists and Engineers, Education Tour Series, 2014, 204 pp., €75 (e-book available).
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.371 | 0.315 |
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".