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Record W1580659692 · doi:10.1002/9780470314180.ch19

Evaluation of the Elastic and Plastic Properties of Si3N4 by Depth Sensing Indentation

2008· book-chapter· en· W1580659692 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

VenueCeramic engineering and science proceedings · 2008
Typebook-chapter
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsIndentationMaterials scienceNanoindentationPenetration depthScratchComposite materialSilicon nitridePenetration (warfare)Indentation hardnessOpticsMicrostructureMathematics

Abstract

fetched live from OpenAlex

A high resolution instrument, called the nanomechanical probe, which permits continuous monitoring of load and depth of penetration during indentation and scratch tests has been developed at IAR/NRC. Its principle of operation, specifications and capabilities are discussed. Indentation tests on HIPed silicon nitride samples with densities ranging from about 82 to 99.7% theoretical density have been performed. Hardness values for each sample have been calculated from load vs. depth plots using a new method involving the plastic work dissipated during the indentation process. The elastic properties of the samples have been determined from the slope of the unloading curve using the elastic punch model. The results are compared to those obtained by conventional methods.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.543

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 head0.023
GPT teacher head0.193
Teacher spread0.170 · 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