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Record W4224238170 · doi:10.31219/osf.io/xf5va

Phần mềm quản lý đầu tư JSI

2022· preprint· vi· W4224238170 on OpenAlexaff
Loc Nguyen

Bibliographic record

Venuenot available
Typepreprint
Languagevi
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsVitalité Health Network
Fundersnot available
KeywordsChemistryMedicinal chemistryStereochemistry

Abstract

fetched live from OpenAlex

Việc đầu tư vào những tài sản như cổ phiếu, chứng khoáng phái sinh (CFD), kim loại quý, tiền điện tử cần những tác vụ đặc thù so với quản lý kế toán tài chính thông thường vì liên quan đến đòn bẫy tài chính và khả năng dự đoán xu hướng tăng/giảm giá tài sản để tránh cạn kiệt vốn. JSI là phần mềm nhỏ gọn hỗ trợ nhà đầu tư quản lý những tài sản này trong quá trình đầu tư nhiều rủi ro. Phần mềm được lập trình bằng ngôn ngữ Java chạy trên nhiều hệ điều hành, có dung lượng nhỏ và giao diện thân thiện nên thích hợp cho những cá nhân quản lý các tài sản được đầu tư với số lượng không nhiều.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.796
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2040.044

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 head0.030
GPT teacher head0.332
Teacher spread0.302 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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