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Record W2981620390 · doi:10.4095/295753

Borehole geophysical logs in unconsolidated sediments across Canada

2015· report· en· W2981620390 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBoreholeGeologySeismologyGeophysicsOceanographyPaleontology

Abstract

fetched live from OpenAlex

Over the past four decades, the Near-Surface Geophysics group at the Geological Survey of Canada (GSC) has collected borehole geophysical logs in Quaternary sediments across Canada. Project work has primarily been driven by long term research programs related to permafrost, groundwater, and natural hazards. This work has resulted in a dataset of geophysical logs in 226 boreholes across the country. Primary logging methods include natural and active gamma, inductive conductivity and magnetic susceptibility, fluid temperature, and compressional and shear wave velocities. Over the years, tool calibration runs have been conducted at the Bell's Corners Borehole Calibration Facility in Ottawa, ON, to ensure that all the tools provide repeatable results which are in agreement with the standards published by the GSC. The compilation presented in this report provides logs as digital Log ASCII Standard (LAS) files, WellCAD files, and also in an interactive Google Earth format with links to PDF images of the log suites. The purpose of this Open File is to release the complete suite of geophysical logs so that the all members of the public may have access to this valuable national dataset

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.274
Teacher spread0.229 · 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

Quick stats

Citations11
Published2015
Admission routes2
Has abstractyes

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