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Record W2285958938 · doi:10.5281/zenodo.15451051

THE SKELETON OF EUPLECTELLA ASPERGILLUM AS FOUNDATION FOR THE DEVELOPMENT OF NOVEL COMPOSITE AEROSPACE STRUCTURES

2011· article· en· W2285958938 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExplore Bristol Research · 2011
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsMcGill University
Fundersnot available
KeywordsAerospaceSponge spiculeStiffeningStructural engineeringLattice (music)EngineeringMaterials scienceGeologyPaleontologyPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

Biological materials have long attracted the attention of researchers in different science fields owing to their unique structure and mechanical performance. This paper presents some of the key design strategies, adopted by the hexactinellid sponge E. aspergillum. The laminated configuration of the spicules and silica cement, the periodic lattice arrangement and the fusion strategies play a prominent role in enhancing the structural performance of the skeleton. It is established that the overlapping pattern of the spicules, forming the main framework, is not consistent in all sections of the lattice. Several toughening mechanisms which significantly contribute to the damage tolerance capabilities of the skeleton are identified and discussed. In addition, a novel lattice, inspired by the skeleton of E. aspergillum, is introduced. The performed determinacy analysis of the finite and infinite structures indicates that the lattice experiences pre-stressed behaviour characterised with stiffening the internal mechanisms by the states of self-stress.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.238
GPT teacher head0.387
Teacher spread0.149 · 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