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Record W4415710963 · doi:10.1038/s41598-025-21872-z

Brilliant structural colors originating from reflection by nanogaps of nacreous layers in fossilized ammonite shells

2025· article· en· W4415710963 on OpenAlexaboutno aff
Naoki Hizukuri, Yuta Yagi, Hayato Sasazawa, Yuya Oaki, Hiroyuki Tsuda, Hiroaki Imai

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsAmmoniteLaminationReflection (computer programming)HomogeneousAragoniteReflectivityStructural coloration

Abstract

fetched live from OpenAlex

Vivid-colored ammonite fossils that are mined in Alberta, Canada, are known as gemstones called "Ammolite." The specific colors having narrow reflectance spectra are ascribed to an interference phenomenon on the preserved nacre of fossils. However, the essence of the vivid tones that are different from the structural coloration of other kinds of shells has not been revealed. In this work, we clarified that specific reflection by interlaminar nanogaps (~ 4 nm) of aragonite plates with the homogeneous lamination period in the fossilized nacreous layers is essential for the emergence of vivid structural colors depending on the thickness of the layer.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.271
Teacher spread0.262 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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