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Record W2773248876 · doi:10.2113/gseegeosci.22.2.171

Geomodels in Engineering Geology—An Introduction

2016· article· en· W2773248876 on OpenAlexaboutno aff
Richard Jackson

Bibliographic record

VenueEnvironmental and Engineering Geoscience · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCitationIconGeologistEngineering geologyLibrary scienceEngineeringGeologyComputer scienceHistoryArchaeologyPaleontologyTectonics

Abstract

fetched live from OpenAlex

Research Article| May 01, 2016 Geomodels in Engineering Geology—An Introduction: (Peter Fookes, Geoff Pettifer, and Tony Waltham) Richard Jackson Richard Jackson 11 Venus Crescent, Geofirma Engineering Ltd., Heidelberg, Ontario N0B 2M1, Canada Search for other works by this author on: GSW Google Scholar Author and Article Information Richard Jackson 11 Venus Crescent, Geofirma Engineering Ltd., Heidelberg, Ontario N0B 2M1, Canada Publisher: Association of Environmental & Engineering Geologists First Online: 02 Mar 2017 Online Issn: 1558-9161 Print Issn: 1078-7275 © 2016 Association of Environmental & Engineering Geologists Environmental & Engineering Geoscience (2016) 22 (2): 171–172. https://doi.org/10.2113/gseegeosci.22.2.171 Article history First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Richard Jackson; Geomodels in Engineering Geology—An Introduction: (Peter Fookes, Geoff Pettifer, and Tony Waltham). Environmental & Engineering Geoscience 2016;; 22 (2): 171–172. doi: https://doi.org/10.2113/gseegeosci.22.2.171 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search This is an unusual and welcome contribution to the engineering geology literature. The preamble outlines the concept of a "geomodel" and its depiction in simplified block diagrams is useful for the engineering geologist and geotechnical engineer. The geomodel approach was developed in the UK because of the popularity of Fookes' Glossop Lecture before the Engineering Geology Group of the Geological Society of London, which was subsequently published as Fookes (1997). It is written in the British tradition of engineering geomorphology. The purpose of the book is "to help engineers visualize the three-dimensional geology and to act as a quick... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.002
Scholarly communication0.0030.006
Open science0.0020.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0270.016

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 head0.005
GPT teacher head0.141
Teacher spread0.136 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations49
Published2016
Admission routes1
Has abstractyes

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