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Record W7162323663 · doi:10.3997/2214-4609.202533161

Assesing Marine Phytoplankton Composition and Early Land Plant Impacts on the Evolving Paleozoic Marine Biosphere

2025· article· W7162323663 on OpenAlexaff
G. Winters, E. Sperling, E. Ellefson, L. Tarhan, M. Melchin, K. Dewing, G. Love

Bibliographic record

Venuenot available
Typearticle
Language
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsGeological Survey of CanadaSt. Francis Xavier University
Fundersnot available
KeywordsBiospherePaleozoicPhytoplanktonComposition (language)

Abstract

fetched live from OpenAlex

Summary The role of an expanding Paleozoic terrestrial biosphere, fueled by the radiation of early land plants, may have significantly influenced ocean chemistry and biology by altering the global biogeochemical cycling of redox-sensitive elements and essential nutrients. Our detailed lipid biomarker records, used in conjunction with inorganic redox proxies and biostratigraphy, are helping to constrain how the composition of paleotropical marine communities evolved through the Ordovician-Silurian-Devonian transition. Sterane records strongly suggest that 24-n-propylcholestane (24-npc), sourced from marine pelagophytes and their algal ancestors, first appeared as a common ancient marine algal signal during the Silurian Period. Our study helps to untangle the cryptic influence of progressive continental greening on perturbing the Paleozoic marine biosphere and driving increasing oxygenation over protracted timescales.

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)0.001
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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 routes1
Has abstractyes

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