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2019· article· ja· W6944349971 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Library of Peter the Great Polytechnic University · 2019
Typearticle
Languageja
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Product (mathematics)Process (computing)Beam (structure)

Abstract

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Магистерская работа посвящена численному исследованию процессов нелинейного деформирования Ð¶ÐµÐ»ÐµÐ·Ð¾Ð±ÐµÑ‚Ð¾Ð½Ð½Ñ‹Ñ Ð¸ Ð±ÐµÑ‚Ð¾Ð½Ð½Ñ‹Ñ ÐºÐ¾Ð½ÑÑ‚Ñ€ÑƒÐºÑ†Ð¸Ð¹ на основе Ð°Ð½Ð°Ð»Ð¸Ñ‚Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ñ€ÐµÑˆÐµÐ½Ð¸Ð¹ и Ð½Ð°Ñ‚ÑƒÑ€Ð½Ñ‹Ñ Ð¸ÑÐ¿Ñ‹Ñ‚Ð°Ð½Ð¸Ð¹. В работе выполнен сравнительный анализ модели Гениева с моделями, реализованными в программном комплексе ANSYS. Приведено сравнение с натурными испытаниями Toronto Beam Tests.

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)0.002
metaresearch head score (Gemma)0.000
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), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0030.005
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0120.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.003
GPT teacher head0.180
Teacher spread0.177 · 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 designBench or experimental
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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