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Record W2056418948 · doi:10.1159/000324845

Polyphosphates Affect Biological Apatite Nucleation

2011· article· en· W2056418948 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

VenueCells Tissues Organs · 2011
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsApatiteNucleationAffect (linguistics)ChemistryBiophysicsBiologyMineralogyPsychologyCommunication

Abstract

fetched live from OpenAlex

While biological apatite (bone mineral) resorption is understood, from the perspective of crystallization theory, nucleation is not. The degree of saturation (Ω) describes the chemical driving force for mineral dissolution (Ω <1) or formation (Ω > 1). Ω is the ratio of the ion activity product (IAP) of free apatite (available for reaction) component ion concentrations (predominately [Ca<sup>2+</sup>] and [PO<sub>4</sub><sup>3–</sup>] for apatite) and its solubility product (K<sub>sp</sub>). Free ion concentrations can be less than total ion concentrations if the ions form complexes, or if the ion speciation changes. Within the acidic bone resorption pit, free [PO<sub>4</sub><sup>3–</sup>] is reduced due to speciation into H<sub>2</sub>PO<sub>4</sub><sup>_</sup>. This reduces IAP<sub>bio-Ap</sub>, and Ω<sub>bio-Ap</sub>; at Ω<sub>bio-Ap</sub> <1, apatite dissolves. Apatite nucleation requires Ω<sub>bio-Ap</sub> >1, and bioaccumulation of molar total [Ca<sup>2+</sup>] and [PO<sub>4</sub><sup>3–</sup>] to form the 60–70 weight percent mineral in bone tissue. This is possible with the polymerization of PO<sub>4</sub><sup>3–</sup> into polyphosphate [polyP: (PO<sub>3</sub><sup>–</sup>)<sub>n</sub>] which reduces free [PO<sub>4</sub><sup>3–</sup>] while leaving total [P] unchanged. polyP forms neutral complexes by chelation with Ca<sup>2+</sup>, which further reduces free [Ca<sup>2+</sup>] and Ω<sub>bio-Ap</sub>, yet total [Ca<sup>2+</sup>] is unchanged. In vitro experiments demonstrate reduction in free [Ca<sup>2+</sup>], free [PO<sub>4</sub><sup>3–</sup>], and Ω<sub>bio-Ap</sub> by Ca-polyP formation, while total [Ca<sup>2+</sup>] and total [P] are constant. polyP depolymerization restores free [Ca<sup>2+</sup>] and [PO<sub>4</sub><sup>3–</sup>] to total [Ca] and [P], and increases Ω<sub>bio-Ap</sub>, favouring apatite nucleation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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)0.0030.002

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 head0.019
GPT teacher head0.195
Teacher spread0.176 · 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