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Record W2981924288 · doi:10.4095/304280

Till geochemical data for the southern Core Zone, Quebec and Newfoundland and Labrador (NTS 23-P and 23-I): samples collected in 2015 and 2016

2017· report· en· W2981924288 on OpenAlexaffabout
J M Rice, M B McClenaghan, R C Paulen, M Pyne, Martin Ross

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsAqua regiaGeologyGeochemistryChemistry

Abstract

fetched live from OpenAlex

This open file reports geochemical data for till samples collected in 2015 and 2016 as part of a reconnaissance-scale till sampling and surficial mapping project across the southern Core Zone, Quebec and Newfoundland and Labrador (NTS map sheets 23-I and 23-P). Additional geochemical data (Au, Pt, Pd) of till samples collected in 2014 are also reported here as well as re-analysis of select archived till samples collected by the Geological Survey of Canada as part of the Canada - Newfoundland Mineral Development Agreement (1984-1989) in the southern Core Zone. Data reported in this open file include geochemical analyses of the <0.063 mm fraction using aqua regia (partial), borate fusion (total), and fire assay (total Au, Pt, Pd), as well munsell colour, grain-size data, loss on ignition, and total carbon analyses.

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)0.001
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.113
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.011
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1130.028

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 head0.080
GPT teacher head0.307
Teacher spread0.227 · 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
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

Citations6
Published2017
Admission routes2
Has abstractyes

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