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Record W4409654308 · doi:10.4028/b-f28lis

9th International Seminar on Advances in Materials Science and Engineering (ISAMSE)

2025· book· en· W4409654308 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

VenueTrans Tech Publications Ltd. eBooks · 2025
Typebook
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsEngineering ethicsScience and engineeringEngineeringEngineering physics

Abstract

fetched live from OpenAlex

This book compiles 41 research papers that were presented at the 9th International Seminar on Advances in Materials Science and Engineering (ISAMSE 2024) held on July 12-14, 2024 in Kaifeng, Henan, China. A wide range of research results in modern materials science from structural metals, green chemistry, environmental engineering and building materials to functional materials, protective coatings, corrosion and materials for micro- and optoelectronics are reflected in this collection. This book is a valuable resource for engineers and researchers seeking to understand and improve material performance in various environments and applications.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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