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Record W4375935708 · doi:10.58334/vrtc.jtst.n28.24

THỬ NGHIỆM TỰ NHIÊN ĐÁNH GIÁ KHẢ NĂNG BẢO VỆ BO MẠCH ĐIỆN TỬ CỦA MỘT SỐ LỚP PHỦ

2023· article· vi· W4375935708 on OpenAlexaboutno aff
Quý Hiếu Doãn, Thi Thanh Nha Tran

Bibliographic record

VenueTạp chí Khoa học và Công nghệ nhiệt đới · 2023
Typearticle
Languagevi
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryMedicinal chemistryStereochemistry

Abstract

fetched live from OpenAlex

Bài báo trình bày phương pháp thử nghiệm tự nhiên để đánh giá tính chất bảo vệ của các lớp phủ thương mại cho mạch điện tử bao gồm: CPU800A/B, S830, AC-100 (Hàn Quốc), EDL-2-3 (Trung tâm Nhiệt đới Việt - Nga), Gamma Nano-2610 và Gamma Nano-2711 (Canada) tại Trạm Nghiên cứu thử nghiệm tự nhiên (NCTNTN) Hòa Lạc. Đây là các loại lớp phủ được sử dụng phổ biến, sẵn có trên thị trường Việt Nam. Dựa trên kết quả thử nghiệm thu được, nhóm tác giả đã đưa ra đánh giá, so sánh khả năng bảo vệ bo mạch điện tử của các lớp phủ.

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0030.004
Scholarly communication0.0010.002
Open science0.0040.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.066

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 head0.031
GPT teacher head0.323
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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