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Record W2713697481 · doi:10.1299/jsmebio.2007.20.433

637 Mechanical analysis of morphological structure of a heart for more sophisticated design of the artificial myocardium

2008· article· en· W2713697481 on OpenAlexaff
Yasuyuki Shiraishi, Yoshifumi Saijo, Tomoyuki Yambe, Muneichi Shibata, Yumiko Wada, Ryo Sakata, Tomoki Watabe, Mitsuo Umezu, Tetsuo FUJIMOTO, Atsushi Baba, Koichi Tabayashi, D. Homma

Bibliographic record

VenueBaioenjiniaringu Koenkai koen ronbunshu/Baioenjiniaringu Kouenkai kouen rombunshuu/Ippan Shadan Hojin Nihon Kikai Gakkai Baioenjiniaringu Koenkai · 2008
Typearticle
Languageen
FieldEngineering
TopicElasticity and Material Modeling
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsArtificial heartCardiologyMedicine

Abstract

fetched live from OpenAlex

Mechanical ana ysis of morp 010gical stmc re of a he for

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0030.006
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0050.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.240
Teacher spread0.207 · 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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueBaioenjiniaringu Koenkai koen ronbunshu/Baioenjiniaringu Kouenkai kouen rombunshuu/Ippan Shadan Hojin Nihon Kikai Gakkai Baioenjiniaringu KoenkaiSame topicElasticity and Material ModelingFrench-language works237,207