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Record W3210182204 · doi:10.1130/abs/2021am-367830

UPDATING THE GEOLOGIC AND STRUCTURE MAPS OF THE WALLACE AND KALISPELL 1 X 2 DEGREES QUADRANGLES, MONTANA AND IDAHO, USA, AND ALBERTA AND BRITISH COLUMBIA, CANADA

2021· article· en· W3210182204 on OpenAlexaboutno aff
Jeffrey L. Mauk, John D. Horton, Carma A. San Juan, Micah A. Hernandez, Logan Owen

Bibliographic record

VenueAbstracts with programs - Geological Society of America · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologic mapGeological surveyGeospatial analysisGeologyQuadrangleThematic mapGeographic information systemNorth American Datum of 1927CartographyArchaeologyGeographyRemote sensingGeomorphologyPaleontologyGeodetic datum

Abstract

fetched live from OpenAlex

The United States Geological Survey (USGS) is updating the geologic and structure maps of the Wallace and Kalispell 1 x 2 degrees quadrangles, which together cover approximately 33,000 square kilometers in Montana and Idaho, USA, and Alberta and British Columbia, Canada. The Wallace map was originally published in 1986 by Jack Harrison and others as USGS Miscellaneous Investigations Series Map I-1509-A, and the Kalispell map was originally published in 1992 by Jack Harrison and others as USGS Miscellaneous Investigations Series Map I-2267. Both maps were then digitized by staff at the USGS' Earth Resources Observation Systems Data Center prior to 1994; digitization that would allow input into a geographic information system (GIS) was completed by USGS staff and contractors at the Spokane Field Office in 2000. Our updates will occur in two steps. First, we have updated the digital data in the attribute tables and geospatial features (points, lines, and polygons) in a format that complies with the Geologic Map Schema (GeMS). The GeMS is a new (2020) USGS standardized database design for the digital publication of geologic maps that is intended to bridge the gap between traditional geologic mapping and GIS communities at an operational level. Our data releases present the geologic maps as shown on the original map plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in these versions, but both maps faithfully represent the original publications. The modernized GIS data for both maps will be published before the Geological Society of America’s 2021 annual meeting. The second updates will involve new geologic mapping, as well as synthesizing other published geologic maps and reports, to provide significant updates on stratigraphic and structural data, age data for intrusive rocks, and interpretations of geologic development. Updating these geologic maps is foundational and a high priority for the USGS to facilitate on-going research and activities such as geologic mapping, petrologic studies, hazard assessments, mineral prospectivity mapping, energy assessments, and geoenvironmental evaluations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.178
Teacher spread0.169 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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