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Record W1994516314 · doi:10.7209/tanso.2006.281

Landmarks for graphitization

2006· article· en· W1994516314 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.

Bibliographic record

VenueTANSO · 2006
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsPrecipitationCarbon fibersMacromoleculeMaterials scienceHydrogenCrystal (programming language)Range (aeronautics)CrystallographyTransformation (genetics)Chemical physicsChemical engineeringChemistryComposite materialOrganic chemistryPhysicsComputer science

Abstract

fetched live from OpenAlex

The paper is divided in two parts. The first one recalls the necessary basis of ordered and disordered materials crystal-lography applied to carbons. The second part deals with the transformation of macromolecules (natural or industrial) to carbon and the eventual graphitization of the end-products. It is shown that the final ordering is entirely under the depend-ence of the elemental composition of the precursor through liquid crystals (Local Molecular Orientations: LMO' s) demixtion. The numerical parameter used is FLMO (atomic ratio of cross-linking atoms over hydrogen at the occurrence of liquid crystals precipitation). The end-products range progressively from non-graphitizing to graphitizing carbons as FLMO decreases from 0.3-0.5 to zero.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.237

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 head0.005
GPT teacher head0.212
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