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Record W2808961339 · doi:10.4095/297330

Precambrian geology, Leith Peninsula-Rivière Grandin area, Northwest Territories

2017· report· en· W2808961339 on OpenAlexaboutno aff
Robert S. Hildebrand

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsPrecambrianPeninsulaGeologyPhysical geographyArchaeologyOceanographyPaleontologyGeography

Abstract

fetched live from OpenAlex

The Leith Peninsula map area lies along the western margin of the Canadian Shield (Kidd, 1936a) and is dominated by Paleoproterozoic rocks of Wopmay Orogen (Hoffman, 1980, 1989). The oldest rocks, termed Hottah terrane (Hildebrand, 1981), constitute the metamorphic basement to volcanic, plutonic, and sedimentary rocks of the 1.875-1.843 Ga Great Bear magmatic zone (McGlynn, 1979; Bowring, 1985). Hottah terrane is interpreted as a precollisional arc that collided with Slave Craton and its west-facing passive margin during the 1.88 Ga Calderian Orogeny (Hoffman, 1980; Hildebrand, 1981; Bowring and Grotzinger, 1992; Hildebrand et al., 2010a). Rocks of the Great Bear magmatic zone are interpreted as a postcollisional arc, were folded about northwest to northerly trending axes, and are cut by abundant transcurrent faults (Hoffman and McGlynn, 1977; Hildebrand et al., 1987b, 2010b). A swarm of northwesterly trending diabase dykes, dated at 1740 Ma, cut the faults (Irving et al., 2004).

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 score0.119
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.002

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 head0.053
GPT teacher head0.254
Teacher spread0.201 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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