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Record W4283745147 · doi:10.4138/atlgeo.2022.006

Note on the discovery of Carboniferous amber associated with the seed fern Linopteris obliqua, Sydney Coalfield, Nova Scotia, Canada

2022· article· en· W4283745147 on OpenAlexaffabout
María Mastalerz, Erwin L. Zodrow

Bibliographic record

VenueAtlantic Geoscience · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFossil Insects in Amber
Canadian institutionsSydney Steel (Canada)
FundersUniversidad Nacional de Cuyo
KeywordsPennsylvanianNova scotiaCarboniferousFernSiltstoneGeologySedimentary rockWest virginiaBegoniaPaleontologyBotanyBiologyArchaeologyGeography

Abstract

fetched live from OpenAlex

We report on a discovery of amber from the Carboniferous sedimentary rocks of the Sydney Coalfield, Nova Scotia, Canada. The amber occurs in the form of droplets and as a linear feature and ranges in colour from light brown to dark purple. The amber was found in situ in siltstone above the Middle Pennsylvanian Hub coal seam, where it was associated with abundantly abscised pinnules of the seed fern Linopteris obliqua. The amber specimens were analyzed by infrared spectrometry and their spectrochemical characteristics were compared with those of other fossil ambers. This discovery not only expands the inventory of amber to as old as ~300 million years, but also documents that Carboniferous seed ferns were able to utilize biosynthetic mechanisms to produce resinous exudates.

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 score0.184
Threshold uncertainty score0.370

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.192
Teacher spread0.179 · 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
Published2022
Admission routes2
Has abstractyes

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