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Record W2464434432

Wood-cement compatibility of some Eastern Canadian woods by isothermal calorimetry.

2004· article· en· W2464434432 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.

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

VenueForest Products Journal · 2004
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsHardwoodCompatibility (geochemistry)BeechBlack spruceSoftwoodBalsamCementPulp and paper industryFagus orientalisYellow birchComposite materialBotanyEnvironmental scienceMaterials scienceForestryEngineeringBiologyTaigaGeography
DOInot available

Abstract

fetched live from OpenAlex

The compatibility of five softwood species (white pine, jack pine, balsam fir, black spruce, tamarack), five hardwood species (aspen, sugar maple, yellow birch, white birch, American beech), and black spruce bark with type 10 Portland cement was evaluated with the aim of selecting those most suited for the manufacture of wood-cement composite panels, after seasonning. The experiments were performed by isothermal microcalorimetry. From the trend observed, sofwood species showed the greatest potential for the manufacture of wood-cement panels, with a compatibility factor higher than 40 percent; whereas the hardwood species had a compatibility factor lower than 35 percent. Black spruce bark proved to be unsuitable for the manufacture of wood-cement panels, with a compatibility factor of 2 percent.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.997

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 head0.195
Teacher spread0.183 · 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