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Cation and suspended sediment concentrations from the Mackenzie River and Estuary, Canada, September 2022

2024· dataset· en· W6950883731 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
FundersNatural Environment Research Council
KeywordsSalinityParticulatesHydrology (agriculture)Dissolved organic carbonSedimentSurface waterWater column

Abstract

fetched live from OpenAlex

Dissolved element concentrations, dissolved stable carbon isotope ratios (δ13C), salinity measurements, and suspended particulate matter (SPM) concentrations from the Mackenzie River and estuary. River water and SPM samples were collected between the 11th and the 18th of September 2022. Samples were taken from the surface of the water column and at depth. Individual sample locations (latitude and longitude) are provided in the data file. In total, 18 water and SPM samples were collected from 11 different localities. Samples were collected to span a large salinity range (0.15-29 P.S.U.). Dissolved element concentrations provided: aluminium, barium, calcium, iron, potassium, magnesium, manganese, sodium, sulphate, silicon, and strontium.

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)0.004
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 score0.036
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.018
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.015

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 head0.023
GPT teacher head0.288
Teacher spread0.265 · 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
Published2024
Admission routes1
Has abstractyes

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