Processed multichannel seismic data, including the eastern part of SCREECH Transact 3, acquired during the R/V Maurice Ewing survey EW0007 2000)
Bibliographic record
Abstract
This data set consists of the eastern part of SCREECH Transect 3 (3MCS2) and line 306. This ODP site survey on the Newfoundland margin was a joint project, SCREECH (Studies of Continental Rifting and Extension on the Eastern Canadian SHelf), between the University of Wyoming, WHOI, Dalhousie University, and Danish Lithosphere Centre scientists. The Ewing acquired MCS, magnetic, gravity, and multibeam bathymetric data while the Oceanus acquired wide-angle reflection/refraction data via ocean-bottom seismometers/hydrophones (OBS/Hs). This cruise was to provide a critical dataset for testing models of continental rifting, breakup, and initiation of seafloor spreading in a non-volcanic rifted environment. Its objectives were to: 1) characterize the nature of the crust transitional between oceanic and continental crust in the region; 2) provide a comparison with the Iberian margin, thereby allowing testing of models of pure-shear vs. simple-shear during rifting; and 3) determine the amount of igneous material intruded and extruded during rifting, providing comparative data with other volcanic rifted margins, such as the East Greenland margin. Funding was provided by NSF (grants OCE98-19599 and OCE98-19053), Dalhousie University, Geological Survey of Denmark and Greenland, Danish National Research Foundation (Danmarks Grundforskningsfond), and the Natural Sciences and Engineering Council of Canada.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".