MétaCan
Menu
Back to cohort
Record W4413359040 · doi:10.1038/s43246-025-00890-4

Bone mineral platelets are mesocrystals formed by monoclinic nanocrystals

2025· article· en· W4413359040 on OpenAlexaff
Viktória Kovács Kis, Henry P. Schwarcz, Nadine Nassif, Zoltán Szekanecz

Bibliographic record

VenueCommunications Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsMcMaster University
FundersNemzeti Kutatási, Fejlesztési és Innovaciós Alap
KeywordsMonoclinic crystal systemNanocrystalMaterials sciencePlateletMineralNanotechnologyChemical engineeringCrystallographyChemistryMetallurgyMedicineCrystal structureImmunologyEngineering

Abstract

fetched live from OpenAlex

Abstract Detailed multiscale models explain the complex hierarchical structure of bone but the crystal structure and precise organization of bone apatite nanocrystals are unknown. Crystal structure studies of bone mineral are difficult due to intimate structural intergrowth with organic matrix and small crystal size, (2-6 nm x 30-40 nm). Here, we present high resolution transmission electron microscope images of bone mineral platelets, which allow us to clarify both the crystal structure and morphology of bone mineral. We demonstrate that the mineral platelets are polycrystalline mesocrystals with flat faces formed by oriented attachment of several crystals parallel to the c-axis and flattened by the dominant (010) prism facets. Individual bone crystals have monoclinic symmetry, in contrast to hydroxyapatite, which is hexagonal. Interestingly, biomimetic apatite also exhibits monoclinic symmetry. These findings provide a plausible explanation for the observed flat platelet morphology of bone crystals, which plays a key role in collagen binding and is at odds with the hexagonal structure and morphology of geological apatites.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 head0.026
GPT teacher head0.298
Teacher spread0.272 · 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 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

Citations7
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCommunications MaterialsSame topicCalcium Carbonate Crystallization and InhibitionFrench-language works237,207