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Record W4281286274 · doi:10.31219/osf.io/8mun3

Hãy cho mình cơ hội và dấn thân đón nhận thử thách phía trước

2022· preprint· vi· W4281286274 on OpenAlexaboutno aff
Thu Trang Vu

Bibliographic record

Venuenot available
Typepreprint
Languagevi
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryMedicinal chemistryNuclear chemistryStereochemistry

Abstract

fetched live from OpenAlex

SVVN - Nguyễn Thanh Nhàn, sinh năm 2000, hiện là sinh viên năm 4 của trường ĐH Ngoại thương Hà Nội. Những nỗ lực trong suốt 3 năm học đại học đã giúp cô bạn có được những thành công nhất định trên hành trình chinh phục và khám phá tiềm năng của bản thân. Mới đây, đội thi của Nhàn cũng đạt điểm số cao nhất toàn cầu vòng 3 cuộc thi Sáng tạo Kinh doanh Xã hội (SBC) do trường ĐH HEC Montreal tổ chức. (SVVN; 19-8-2021)

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0060.037
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.2830.018

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 head0.334
Teacher spread0.304 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicResearch studies in VietnamFrench-language works237,207