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Record W1966866048 · doi:10.4138/atlgeol.2013.006

Compression map: Improved means for studying Carboniferous foliage

2013· article· fr· W1966866048 on OpenAlexafffundvenueabout
Erwin L. Zodrow, José A. D’Angelo

Bibliographic record

VenueAtlantic Geology · 2013
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsCape Breton University
FundersHumboldt-Universität zu BerlinCape Breton UniversitySmithsonian Institution
KeywordsGeologyCompression (physics)HumanitiesCarvingMineralogyArtArchaeologyGeographyPhysics

Abstract

fetched live from OpenAlex

A medullosalean-pteridosperm specimen, 22 cm long, from the Sydney Coalfield, Nova Scotia, Canada, illustrates the advantage of studying the fossilization history of compressed foliage freed from the rock matrix by hydrofluoric acid, as compared to the examination of compressions still in the rock matrix. The image of any freed frond segment of compression foliage that has been reprocessed digitally to represent its original structure is called a compression map. Interpretation of a compression map is reliant on a physicogeochemical model of preservation processes.RÉSUMÉUn spécimen fossile d’une ptéridospermée du genre Medulossa mesurant 22 cm de longueur et excavé dans le bassin houiller de Sydney, en Nouvelle-Écosse (Canada), illustre bien l’avantage d’étudier l’histoire géologique de fossiles de feuilles extraits de la matrice rocheuse au moyen de l’acide fluorhydrique plutôt que d’examiner des compressions qui sont encore dans la matrice. On désigne carte de compression l’image d’un segment de fronde compressé extrait de la matrice dont on a fait l’extrapolation numérique pour voir sa structure originale. L’interprétation d’une carte de compression repose sur un modèle physicogéochimique des processus de préservation.[Traduit par la redaction]

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.203
Teacher spread0.178 · 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 teacher head, not a consensus.

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

Citations7
Published2013
Admission routes4
Has abstractyes

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