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Record W3016315004

Characterization of Novel Polymer as a Candidate Replacement for Low-Cost GFRP Laminates

2020· preprint· en· W3016315004 on OpenAlex
Bryn Crawford

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueviXra · 2020
Typepreprint
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsFibre-reinforced plasticMaterials scienceComposite materialUltimate tensile strengthVendorEnhanced Data Rates for GSM EvolutionPolymerBendingFlexural strengthGlass fiberCharacterization (materials science)Product (mathematics)Computer scienceBusinessMarketing
DOInot available

Abstract

fetched live from OpenAlex

Commercial entities are always seeking to procure and implement cutting-edge materials that offer performance improvements over past iterations. Material suppliers in British Columbia, Canada, have been in discussions with regional small-to-medium enterprises (SMEs), introducing them to polymer-only materials that can ostensibly replace two-phased composites. This research has focused on comparing the nominal glass-fibre reinforced polymer composite produced by a partnering company, to the proposed replacement material by the vendor. Results obtained indicate that the polymer-only product is not a suitable replacement for the GFRP laminate design used by the company, with the tensile and bending properties (modulus and strength) significantly lower.

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: none
Teacher disagreement score0.604
Threshold uncertainty score0.891

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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