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Record W1981464036 · doi:10.1021/ef900112b

Bio-oil from Sawdust: Pyrolysis of Sawdust in a Fixed-Bed System

2009· article· en· W1981464036 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

VenueEnergy & Fuels · 2009
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPyrolysisSawdustCharVolumetric flow rateCondensationChemistryPulp and paper industryPyrolysis oilChemical engineeringMaterials scienceOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

Sawdust was pyrolyzed in a fixed-bed tubular reactor. The roles of the pyrolysis temperature, sweep gas flow rate, condensation temperature, and heating rate in the yields of the products were investigated. The obtained char, gas, and bio-oil yields ranged between 20 and 27, 36 and 45, and 33 and 45 wt %, respectively, at different pyrolysis conditions. According to the results obtained under the conditions of this study, the effects of the pyrolysis temperature, sweep gas flow rate, and heating rate on the yields are more significant than the effect of the condensation temperature. The chemical characteristics of the pyrolysis bio-oil and char obtained under optimal operational conditions were identified by elemental and calorific analyses. The bio-oil was analyzed using chromatographic and spectroscopic techniques.

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 score0.019
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.180
Teacher spread0.174 · 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