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Record W579210193

Nanostructured materials : processing, properties and potential applications

2002· book· en· W579210193 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicLaser-Ablation Synthesis of Nanoparticles
Canadian institutionsnot available
Fundersnot available
KeywordsNanocrystalline materialMaterials scienceNanomaterialsNanostructureNanotechnologyNanoparticleMaterials processingNanocrystalProcess engineering
DOInot available

Abstract

fetched live from OpenAlex

Processing. Chemical Synthesis and Processing of Nanostructure Powders and Films. Materials. Thermal Spray Processing of Nanocrystalline Materials. Nanostructure Materials and Composites Prepared by Solid State Processing. Nanocrystalline Powder Consolidation Methods. Electrodeposited Nanocrystalline Materials. Computer Simulation of Nanomaterials. Diffusion in Nanocrystalline Materials. Nanostructured Materials for Gas Reactive Applications. Magnetic Properties of Nanocrystalline Materials. Mechanical Properties of Nanocrystalline Materials. Structure, Formation, and Mechanical Behavior of Two-Phase Nanostructured Materials. Nanostructured Electronic and Optoelectronic Materials. restriction.h We do not have the North American/Canadian Rights

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.320
Threshold uncertainty score1.000

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)0.0010.000

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 head0.015
GPT teacher head0.177
Teacher spread0.162 · 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

Quick stats

Citations257
Published2002
Admission routes1
Has abstractyes

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