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Record W2732969619 · doi:10.1299/jsmeted.2012.473

I211 Production of Bio-oil Fuel from Wood Biomass by Fluidized Bed Reactor

2012· article· en· W2732969619 on OpenAlexaff
Yusumi Nagahashi, Syohei Hamada, Koji KOREMATSU, Grace J.R.

Bibliographic record

VenueThe Proceedings of the Thermal Engineering Conference · 2012
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFluidized bedBiomass (ecology)Residence time (fluid dynamics)Heat of combustionEnvironmental sciencePyrolysisWaste managementCharSlurryPulp and paper industryBiofuelCombustionEnvironmental engineeringEngineeringChemistryAgronomy

Abstract

fetched live from OpenAlex

Bio-oil/char slurry from wood biomass is an attractive and novel fuel with advantages in energy density, storage and transportation. In this paper, limitations in the performance of free-fall (drop test) reactors are discussed first. Then the outline of fluidized bed system for fast pyrolysis is presented as improved pylolysis reactor. This system shows good performance for short residence time comparing with free-fall system. The property of the yields is discussed and it is shown that the high quality (high-heating value) of bio-oil is obtained under the short residence time.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.181
Teacher spread0.171 · 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 designBench or experimental
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
Published2012
Admission routes1
Has abstractyes

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