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Record W2031066322 · doi:10.1002/pc.22696

Properties analysis of novel composites for space robots

2013· article· en· W2031066322 on OpenAlex
Xin Ning, Jing Dang, Xiaokui Yue, Jianping Yuan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolymer Composites · 2013
Typearticle
Languageen
FieldEngineering
TopicDielectric materials and actuators
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComposite materialMaterials scienceDielectric

Abstract

fetched live from OpenAlex

Basing on modeling analysis of kinematics and dynamics of the innovational spacecraft‐space robots, increasingly complex space operations require the advanced composites to have excellent mechanical properties at high frequency. The novel powdery nitrile butadiene rubbers (P‐NBRs) are performed to fabricate the P‐NBRs/cyanate esters (P‐NBRs/CE) and P‐NBRs/glass fiber/CE (P‐NBRs/GF/CE) composites. Results show that the flexural and impact strength of the P‐NBRs/CE composites are increased firstly, but decreased with the excessive addition of P‐NBRs. The heat resistant properties of the P‐NBRs/CE composites are decreased with the increasing addition of P‐NBRs. However, the mechanical properties of P‐NBRs/GF/CE composites are decreased with the increasing addition of P‐NBRs. The dielectric constant and dielectric loss of the P‐NBRs/GF/CE composites are increased with the increasing addition of P‐NBRs. POLYM. COMPOS., 35:564–569, 2014. © 2013 Society of Plastics Engineers

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.197
Teacher spread0.184 · 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