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Record W2509029362 · doi:10.2524/jtappij.68.168

A Report on ISWFPC 2013

2014· article· en· W2509029362 on OpenAlexaff
Shiho Takahashi

Bibliographic record

VenueJAPAN TAPPI JOURNAL · 2014
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsVancouver Biotech (Canada)
Fundersnot available
KeywordsPulp and paper industryEngineering

Abstract

fetched live from OpenAlex

2013年6月12日~14日にカナダ・バンクーバー市で,International Symposium on Wood, Fibre and Pulping Chemistry2013(第17回木材化学・繊維化学・蒸解化学国際シンポジウム)がPAPTAC(カナダ紙パルプ技術協会)主催で開催された。大会には16か国から183名が参加した。口頭発表は11分野91件行われ,103件のポスター発表が行われた。本大会では,蒸解・漂白に関する研究や木材リファイナリー技術に関する研究発表が中心で,特に蒸解プロセスから副産するヘミセルロースおよびリグニンから付加価値の高い化学物質の製造技術,バイオエタノール生産前処理技術およびナノセルロース製造に関する研究発表が多かった。木質バイオマスのマテリアル利用の技術開発に注目が集まっている印象を受けた。本稿では,大会および研究発表の概要を中心に紹介する。

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.170
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.000
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1700.084

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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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