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Record W2320340080 · doi:10.3985/jswme.14.36

Bending Strength and Porous Structure of Carbonized Panels Made from Waste Phenol-formaldehyde Resin and Magazine Paper

2003· article· en· W2320340080 on OpenAlex
Kensuke Kawarada, Hirotaka Nakanami, Takahiko Iida, Takayuki Okayama, Toshio Waku, Arihiro Enomoto

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

VenueJournal of the Japan Society of Waste Management Experts · 2003
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsCarbonizationFlexural strengthFormaldehydePhenolMaterials scienceComposite materialPorosityPhenol formaldehyde resinPervious concreteWaste managementChemistryEngineeringCementOrganic chemistry

Abstract

fetched live from OpenAlex

リサイクルが難しいとされている廃フェノール樹脂と雑誌古紙から, フェノール樹脂接着剤を用いてパネルを形成し, さらに二酸化炭素賦活法で吸着性能を有する炭素系パネルを調製した。パネルの曲げ強度特性を調べたところ, 炭化処理で曲げ弾性率 (MOE) が増加した。ところが, 二酸化炭素賦活によりMOEと曲げ強さ (MOR) が低下した。これは, 二酸化炭素を用いた賦活処理中に, 廃フェノール樹脂中に含まれる有機物の分解がMOEやMORの低下に影響を与えたと思われる。一方, 炭素系パネルの比表面積は, 廃フェノール樹脂を含まないパネルで670~990m2/g, 廃フェノール樹脂を含むパネルでは650~760m2/gであり, 細孔構造の発達がみられた。

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: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.725

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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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