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The Effect of Sodium Dopants on Calcium Polyphosphate Biomaterials

2007· article· en· W1975946605 on OpenAlex
Judy Ue, Robert M. Pilliar, Rita A. Kandel, Tom W. Coyle, Marc D. Grynpas

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

VenueKey engineering materials · 2007
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceDopantSinteringCrystallizationSodiumCrystallinitySodium carbonateSodium hydroxidePolyphosphateDifferential thermal analysisChemical engineeringPhosphateNuclear chemistryInorganic chemistryDopingChemistryMetallurgyComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Sodium-doped CPP was synthesized using three dopant sources (sodium carbonate, sodium hydroxide and sodium phosphate). These materials were analyzed by XRD to determine phase composition and by differential thermal analysis to identify phase transition temperatures. Sintering of resulting glass powders showed that both dopant source and dopant concentration affects sinter neck formation and crystallinity. The open porosity of sodium phosphate and sodium carbonate doped samples at 0.1 Na2O/CaO sintered at different temperatures changed significantly. Crystallization of the construct during sintering was noted at temperatures lower than expected.

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 categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.214
Teacher spread0.208 · 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