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Record W2981746538 · doi:10.4095/293931

Indicator mineral abundance data for a bedrock sample from the Little River antimony occurrence, Newfoundland and Labrador

2014· report· en· W2981746538 on OpenAlexaffabout
M B McClenaghan, S A Averill

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBedrockPyriteGeologyMineralStibniteHeavy mineralAntimonyAbundance (ecology)GeochemistryMineralogyArsenopyriteMining engineeringChemistryGeomorphologyEcology

Abstract

fetched live from OpenAlex

As part of the Geological Survey of Canada's Targeted Geoscience Initiative 4 (TGI-4) Program, one bedrock sample was collected from the Little River antimony occurrence in southern Newfoundland to determine the indicator minerals that are indicative of Sb deposits. The purpose of this open file is to report the raw indicator mineral weight and abundance data for the bedrock sample collected in 2012 for this case study. The sample was processed using a combination of tabling, panning, and heavy liquids to recover potential indicator minerals. Sample location, weights of various fractions produced during sample processing, and indicator mineral grains identified are reported in this open file. Two Sb minerals were recovered from the bedrock sample, stibnite and stibiconite, as well as gold, arsenopyrite, and pyrite. This study provides preliminary insights into the physical appearance, size, and abundance of Sb-rich minerals which will help in the future identification of Sb-rich indicator minerals in unconsolidated surficial sediments.

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)0.001
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 score0.250
Threshold uncertainty score0.502

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.289
Teacher spread0.236 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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