Occurrence of gigantic biogenic magnetite during the Paleocene-Eocene Thermal Maximum
Bibliographic record
Abstract
(1) Department of Earth and Planetary Sciences, McGill University, 3450 University Street, Montreal, Quebec, H3A 2A7, Canada. (hesse@eps.mcgill.ca), (2) Facility for Electron Microscopy Research, McGill University, 3640 University Street, Montreal, Quebec, H3A 2B2, Canada., (3) Division of Geological and Planetary Sciences, California Institute of Technology, MC 170-25 1200 E California Blvd, Pasadena, CA 91125, USA., (4) Department of Geosciences and Woodrow Wilson School of Public & International Affairs, 210 Guyot Hall, Princeton University, Princeton, NJ 08544, USA., (5) INSERM, U759, Institut Curie, Imagerie integrative de la molecule a l’organisme, Orsay, 91405, France., (6) Institut Curie, Laboratoire de Microscopie Ionique, Orsay, 91405, France., (7) Department of Anatomy and Cell Biology, McGill University, 3640 University Street, Montreal, Quebec, H3A 2B2, Canada, (8) Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, MI 49931-1295, USA., (9) FEI Company, Nanobiology Marketing, Eindhoven, 5600KA Eindhoven, The Netherlands.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".