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Record W1887669572 · doi:10.1002/cjce.22373

How do you write and present research well? 3—shave your text with Occam's Razor

2015· article· en· W1887669572 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsElasticity (physics)PolymerAtomic force microscopyEntropic forceMaterials scienceComposite materialNanotechnologyThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Abstract Identify unnecessary verbs in the following sentences describing the measurement of poly(methacrylic acid) (PMMA) elasticity with an Atomic Force Microscope (AFM). [1] An AFM was used to measure the entropic elasticity due to the uncoiling of individual polymer chains of PMMA. We performed AFM measurements to evaluate the entropic elasticity due to the uncoiling of individual polymer chains PMMA. The measurement of the entropic elasticity due to the uncoiling of individual polymer chains of PMMA was done with an AFM. The entropic elasticity due to the uncoiling of individual polymer chains of PMMA were made with an AFM. We tried an AFM to measure the entropic elasticity due to the uncoiling of individual polymer chains.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.068
GPT teacher head0.243
Teacher spread0.176 · 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