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Record W4393616618 · doi:10.5281/zenodo.10247187

Authigenic carbonate burial within the Late Devonian Western Canada Sedimentary Basin and its impact on the global carbon cycle

2023· dataset· en· W4393616618 on OpenAlexaffabout
Sean Gazdewich, Jon M. Husson, Tyler E. Hauck

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAuthigenicGeologyCarbonateDevonianSedimentary rockStructural basinPaleontologyGeochemistryCarbonate platformCarbon cycleEarth scienceSedimentary depositional environmentEcosystemChemistry

Abstract

fetched live from OpenAlex

The complete dataset for the research project entitled Authigenic carbonate burial within the Late Devonian Western Canada Sedimentary Basin and its impact on the global carbon cycle. Within this zip file includes an excel file compiling a list of rock samples and their corresponding stable carbon and oxygen isotope compositions as well as their inorganic carbon content. Rock samples are grouped according to formation name, depositional environment and stratigraphic height. Along with the excel data compilation are two supplementary figures meant to accompany the publication of this research. Figure S1 illustrates coulometry-measured inorganic carbon content of shale samples plotted with respect to their respective IRMS beam area. Figure S2 illustrates a rolling window analysis of the covariability between the d13C and d18O composition of each sample grouped according to their respective core and field sections. A window size of 20 samples was used.

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 score0.160
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.011
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.013

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 head0.019
GPT teacher head0.233
Teacher spread0.214 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicPaleontology and Stratigraphy of Fossils→French-language works237,207→