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Record W6948104193 · doi:10.5066/p1gfqcqx

Digital Representation of Isopach Maps for Selected Geologic Periods from an Atlas Published by Sloss and others (1960)

2024· dataset· en· W6948104193 on OpenAlexaboutno aff

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIsopach mapAtlas (anatomy)Geologic mapRaster graphicsGeological surveyFeature (linguistics)Metadata

Abstract

fetched live from OpenAlex

This data release is the update of the U.S. Geological Survey - ScienceBase data release Sharpe and others (2024). Information of hydrogeologic and geologic importance from the book, "Lithofacies Maps: An Atlas of the United States and Southern Canada" (Sloss and others, 1960) detailing geologic periods, including the Cambrian, Ordovician, Silurian, and Devonian were digitized from scanned maps. Isopach contours were captured and, along with Geologic Map of North America (GMNA) information (Garrity and Soller, 2009), were used to interpolate thickness rasters for each period. Additionally, the lithofacies information on each map was also digitized. First release: November, 2024 Revision 2.0: July, 2026 Data from version 1.0 of the data release are available in the original formats as compressed (.zip) geodatabases (.gdb) of geologic period feature classes, including isopach contours, lithofacies, raster interpolation masks, control points, and thickness rasters. A layer file for symbolizing the lithofacies feature classes and the metadata document are also included. Data for version 2.0 of the data release includes, 1) step 3 masks as shapefiles for all geologic periods, available in Sloss_Isopach_Maps_Step3_Masks.zip, and 2) Step 3 thickness rasters as TIFs for all geologic periods, available in Sloss_Isopach_Maps_Step3_Thickness_Rasters.zip. Citations: Sharpe, J.B., Belitz, K., Fleming, B.J., and Donmoyer, S.J., 2024, Digital representation of isopach maps for selected geologic periods from an atlas published by Sloss and others (1960): U.S. Geological Survey data release, https://doi.org/10.5066/P1GFQCQX. Sloss, L.L., Dapples, E.C., and Krumbein, W.C., 1960, Lithofacies Maps: An Atlas of the United States and Southern Canada, John Wiley & Sons, Inc., 108 pages. Garrity, C.P., and Soller, D.R., 2009, Database of the Geologic Map of North America; adapted from the map by J.C. Reed, Jr. and others (2005): U.S. Geological Survey Data Series 424, http://pubs.usgs.gov/ds/424/.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.088
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.017
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0880.027

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.

Opus teacher head0.012
GPT teacher head0.248
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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