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Record W6906536575 · doi:10.17632/gmhpnr7tjh

Auckland soil geochemical baseline

2022· dataset· en· W6906536575 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMendeley Data · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTrace elementAqua regiaSample (material)Soil testSoil waterVolume (thermodynamics)TRACE (psycholinguistics)

Abstract

fetched live from OpenAlex

Maps and quality assurance and quality control (QAQC) data of trace element concentrations in soil from the Auckland Region. Point source and interpolated maps of trace element concentration in soil samples taken over the Auckland Region are included for three depths: O-depth (0-2 cm); A-depth (2-20 cm); B-depth (50-70 cm). Trace concentrations for 65 elements were measured via ICPMS undertaken at Bureau Veritas Mineral Laboratories, Vancouver, Canada. A 0.5 g split of each sample was digested in 10 ml of 1:1:1 HCl-HNO3-deionized H2O aqua regia solution in glassware for one hour in a hot water bath. Five percent HCl was used to return each sample to a standard 10 ml volume post-heating. The entire sample set was run consecutively, in batches of 40, on a single machine to minimise time-dependant variation, using a PerkinElmer ELAN 9000 ICPMS instrument. In total 487 samples were run [336 unknown samples and 151 samples for QAQC].

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.276
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0080.013
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.2870.011

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 head0.071
GPT teacher head0.323
Teacher spread0.252 · 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

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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