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Record W4403497412 · doi:10.1051/bioconf/202412927006

Electron microscopy characterization of king scallop (Pecten maximus) shells from low-voltage SEM to 3D-EBSD reconstruction

2024· article· en· W4403497412 on OpenAlexaff
Lise Guichaoua, Benazir Khurshid, M. Arnaud Benchetrite, Stéphanie Bessette, Bryce D. Stewart, Natalie Reznikov, Roland Kröger, Raynald Gauvin

Bibliographic record

VenueBIO Web of Conferences · 2024
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsMcGill University
Fundersnot available
KeywordsScallopPecten maximusCharacterization (materials science)Electron backscatter diffractionMaterials scienceScanning electron microscopeElectron microscopeGeologyBiologyOpticsNanotechnologyPaleontologyComposite materialFisheryPhysicsBivalviaMicrostructureMollusca

Abstract

fetched live from OpenAlex

The shell of the bivalve Pecten maximus, also called the king scallop, was previously found to be detrimentally affected by the presence of metal contamination, in particular Cu, Pb, and Zn originating from mining activities on the Isle of Man [1]. In addition to a reduction of shell thickness, scallop shells from the contaminated area exhibit a sharp break line in the mineralization within the foliated region of both the top and bottom valves. Our data suggest that these mineralization break line caused reduced fracture strength compared to pollution�free scallops, which results in increased mortality due to predation and during the process of dredging. These break lines have already been referred to as being of aragonitic prismatic structure [2].
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\nTo shed light on the possible impact of metal contaminations on the growth and strength of scallop shells and in particular on the 3D morphology and microstructure of the scallop, from contaminated and uncontaminated sites, we used characterization tools at different length scales (from cm to µm) using electron and X-ray probes to determine areas of interest in contaminated and healthy (uncontaminated) shells to finally realize crystallographic orientation map using EBSD technique and localized 3D reconstruction by focused ion beam techniques (FIB). The aim of this study was to combine these techniques to produce a full 3D EBSD map of the crystallographic orientations of the critical zones

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.999

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)0.0020.000

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

Explore more

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