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Record W3088864882 · doi:10.3749/canmin.br00005

Mont Saint-Hilaire: History, Geology, Mineralogy

2020· article· en· W3088864882 on OpenAlexvenueaboutno aff
Alf Olav Larsen

Bibliographic record

VenueThe Canadian Mineralogist · 2020
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsCitationGeologistLibrary scienceSAINTGeologyIconGeological surveyArt historyArchaeologyArtHistoryComputer sciencePaleontology

Abstract

fetched live from OpenAlex

Book Review| July 01, 2020 Mont Saint-Hilaire: History, Geology, Mineralogy Mont Saint-Hilaire: History, Geology, Mineralogy. By László Horváth, Robert A. Gault, Elsa Pfenninger-Horváth and Glenn Poirier. The Canadian Mineralogist, Special Publication 14, 2019. IX + 634 pages. ISBN 978-0-921294-61-0. Alf Olav Larsen Alf Olav Larsen Stathelle, Norway Search for other works by this author on: GSW Google Scholar The Canadian Mineralogist (2020) 58 (4): 543–545. https://doi.org/10.3749/canmin.BR00005 Article history first online: 25 Sep 2020 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Alf Olav Larsen; Mont Saint-Hilaire: History, Geology, Mineralogy. The Canadian Mineralogist 2020;; 58 (4): 543–545. doi: https://doi.org/10.3749/canmin.BR00005 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietyThe Canadian Mineralogist Search Advanced Search The authors are the couple László and Elsa Horváth, who have spent the last 20 years working on this monograph, along with the mineralogist Robert Gault and geologist Glenn Poirier. Interestingly, both the Horváths as well as Gault are autodidacts in mineralogy and have gained deep knowledge in this field. The now retired Robert Gault worked as a research assistent at the Canadian Museum of Nature in Ottawa and has since 1991 been operator of the institution's electron microprobe. This allowed him to investigate the chemical composition of MSH minerals firsthand. Glenn Poirier works as a senior research assistant and... You do not currently have access to this article.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score0.688

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2060.089

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 head0.034
GPT teacher head0.196
Teacher spread0.162 · 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
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

Citations6
Published2020
Admission routes2
Has abstractyes

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