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Record W2982143580 · doi:10.4095/220379

Gold deposits of the world: distribution, geological parameters and gold content

2005· report· en· W2982143580 on OpenAlexaff
Pierre Gosselin, B Dubé

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyDistribution (mathematics)MineralogyGeochemistryGold alloysMathematicsMaterials scienceMetallurgyMathematical analysis

Abstract

fetched live from OpenAlex

The spatial distribution and most significant geological attributes of bedrock-hosted (lode) gold deposits of large size and importance are depicted in this data set. Most of these deposits originally contained at least one million troy ounces (31 metric tons) of gold metal. Lode gold deposits have originated in a wide variety of geological environments. Some are related to igneous emplacement and others are formed during periods of moderate to intense deformation . Placer and paleoplacer deposits are not included in this data set. The downloadable data summary is periodically extracted from a database prepared for the World Minerals Geoscience Database Project (1998-2003). The full database can be viewed and queried over the Internet, and is being provided on CD-ROM as a GSC Open File. The CD-ROM version of this data set requires the use of MS-Access, and the database management (data entry/browsing and query) utilities packaged as GlobalDBSystem and developed by Robert Laramée.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Other · Consensus signal: none
Teacher disagreement score0.757
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.254
Teacher spread0.204 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations25
Published2005
Admission routes1
Has abstractyes

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