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Record W2167014738 · doi:10.7202/020420ar

Notes on the Geology and Physiography of the Lake Saint-Jean Area, Québec

2005· article· fr· W2167014738 on OpenAlexaffvenueabout
Peter B. Clibbon, Robert Bergeron

Bibliographic record

VenueCahiers de géographie du Québec · 2005
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)
Fundersnot available
KeywordsGeologyHumanitiesPlateau (mathematics)GeomorphologyArt

Abstract

fetched live from OpenAlex

Le lac Saint-Jean est situé à l'intérieur du Bouclier aux sources du Sague-nay. Il occupe la partie sud-est d'une dépression structurale d'environ 65 milles de long par 35 milles de large, limitée sur trois côtés par des escarpements de faille. Le sous-sol de ces basses terres est constitué de calcaires et de schistes paléozoïques recouverts d'épais dépôts d'argile et de sable. Trois séries de terrasses marines bien définies encerclent la cuvette. Les hautes terres environnantes sont plus ou moins accidentées selon les endroits, avec une altitude relative moyenne d'environ 500 pieds. Des paragneiss, des gneiss mélangés, des anorthosites, des roches charnockitiques et des granits, tous d'âge précambrien, constituent le sous-sol de ce plateau. Les zones les plus accidentées correspondent en grande partie aux roches charnockitiques, aux granités et aux anorthosites massives, tandis que les zones gneissiques ne sont que légèrement ondulées. Des tills d'origine locale tapissent les pentes et d'épais dépôts fluvioglaciaires remplissent les vallées principales.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.001

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 head0.176
Teacher spread0.167 · 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 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

Citations1
Published2005
Admission routes3
Has abstractyes

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