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Paleoenvironmental and diagenetic effects on porphyrin distributions in the End-Devonian Exshaw Formation, Western Canada

2025· article· en· W4416443190 on OpenAlexfundaboutno aff
Sanjukta Dhar, J. M. Fulton

Bibliographic record

VenueOrganic Geochemistry · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsnot available
FundersBaylor UniversityAlberta Energy Regulator
KeywordsDiagenesisPorphyrinPrecambrianSedimentary rockAbsolute datingSterane

Abstract

fetched live from OpenAlex

Porphyrin distributions were studied across 20 locations in the Western Canada Sedimentary Basin, particularly focusing on sediments deposited at the base of the Exshaw Shale, spanning the Devonian-Carboniferous boundary and contemporaneous with the Hangenberg mass extinction. Locations along a north–south transect represent thermally immature kerogen, while locations from east to west show a gradient of increasing thermal maturity. The study aimed to identify regional variability in syn -depositional environmental conditions and post-burial diagenesis influencing porphyrin preservation along the two transects. The relative abundance of three major categories of vanadyl porphyrins – cycloalkanoporphyrins, bicycloalkanoporphyrins, and etioporphyrins from the different sites exhibit notable spatial diversity, with the primary factor affecting their distribution being thermal maturity. Effects of paleoredox conditions and degree of organic matter decomposition were evaluated using trace element enrichments, thermal Rock Eval data, sterane and homohopane maturity indices.

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)0.000
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 score0.043
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.170
Teacher spread0.167 · 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
Published2025
Admission routes2
Has abstractyes

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