MétaCan
Menu
Back to cohort
Record W1982987111 · doi:10.1103/physrevb.78.075427

First-principles study of hydroxyapatite surfaces and water adsorption

2008· article· en· W1982987111 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

VenuePhysical Review B · 2008
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsQueen's University
Fundersnot available
KeywordsAdsorptionDissolutionCrystalliteMaterials scienceBiomaterialAb initioChemical engineeringAb initio quantum chemistry methodsSurface energyChemical physicsChemistryPhysical chemistryNanotechnologyMoleculeComposite materialOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Hydroxyapatite (HA) is the main mineral component of natural bone and an important synthetic biomaterial. The surfaces of this material are critical as the biological action takes place at the interface between the HA and the biological medium. Ab initio total energy methods are used to study the atomic structure and surface chemistry of HA. Low index HA surfaces in vacuum, the adsorption of water on these surfaces, and the loss of Ca from them are considered. All surfaces are found to react strongly with water, and after adsorption of water (001) and Ca-rich (010), surfaces are found to be energetically favored. The loss of Ca from the surface in exchange for two H is also very favorable. The calculated energies of the various surfaces shed light on the morphologies of HA crystallites found in dissolution studies.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.343

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)0.0000.000

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 head0.025
GPT teacher head0.244
Teacher spread0.219 · 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