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Record W3157899212 · doi:10.4095/328243

A GIS dataset of geological features from mineral exploration of the Gayna River Property by Rio Tinto Canadian Exploration Ltd., 1975-1976, northern Mackenzie Mountains, Northwest Territories

2021· report· en· W3157899212 on OpenAlexaffabout
K M Fallas, T D Finley

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyMineral explorationPhysical geographyMining engineeringGeographyArchaeologyCartographyEarth scienceGeochemistry

Abstract

fetched live from OpenAlex

Mineral exploration activity by Rio Tinto Canadian Exploration Ltd. in 1975 and 1976 generated good quality bedrock geological maps of the Gayna River Property, in the northern Mackenzie Mountains. These maps were included as part of mineral assessment reports submitted to the government of Northwest Territories. Geological features and observations illustrated in these maps have been digitally rendered into a GIS by the Geological Survey of Canada and are here provided as shapefiles and ArcGIS(TM) layer files for public use. Digitized geological features include: Rio Tinto informal map units, contacts, faults, areas of gypsum outcrop, areas of breccia outcrop, limits of mapping, structural cross-section locations, visited stations, lithologies, planar measurements, linear measurements, and significant mineral occurrences.

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)0.002
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.046
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.019
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.007

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 head0.244
Teacher spread0.210 · 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
GenreDataset

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

Citations0
Published2021
Admission routes2
Has abstractyes

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