Data for: A further source of Tokyo earthquakes and Pacific Ocean tsunamis
Bibliographic record
Abstract
This data repository contains the location of cores collected as part of this study, the microfossil and radiocarbon results from those cores, and fault parameters used in eleven historical and hypothetical tsunami simulations for Kujukuri, Japan (Boso Peninsula). The work is supported by the Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST) and in part by grants awarded to J.E.P. [National Science Foundation (EAR-1303881 and 1624612), Natural Sciences and Engineering Council of Canada (NSERC), Canada Research Chair (CRC) program, and Japan Society for the Promotion of Science (JSPS) International Research Fellow program at the Geological Survey of Japan (PE14038)]; A.C.P. [Science Foundation Ireland Career Development Award (17/CDA/4695), Investigator Award (16/IA/4520), Marine Research Programme funded by the Irish Government, co-financed by the European Regional Development Fund (Grant-Aid Agreement No. PBA/CC/18/01), European Union’s Horizon 2020 research and innovation programme under grant agreement No 818144, and SFI Research Centre (16/RC/3872 and 12/RC/2289_P2); and B.P.H. [Singapore Ministry of Education Academic Research Fund (MOE2019-T3-1-004), National Research Foundation Singapore, and Singapore Ministry of Education, under the Reseach Centers of Excellence initiative].
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.262 | 0.153 |
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".