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Record W2125782570 · doi:10.5539/ep.v2n3p100

Gas Emissions and Metallic Contents of Commonly Used Fuelwood in Nigeria

2013· article· en· W2125782570 on OpenAlex
O. N. Omaka, F.I. Nwabue, Emeka J. Itumoh, G. N. Okeke

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.

venuePublished in a venue whose home country is Canada.
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

VenueEnvironment and Pollution · 2013
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental chemistryEnvironmental scienceMetalSoil waterWaste managementPulp and paper industryChemistryOrganic chemistryEngineeringSoil science

Abstract

fetched live from OpenAlex

Gas emissions levels of NO, NO2, SO2, CO, and CO2 from commonly used domestic fuel wood were investigated using Carbolite Muffler Furnace equipped with gas probes. Results after analysis showed gas levels in ppm in the range 0.1–29.6 for NO, 0.1–10.0 for NO2, 1.2–21.0 for SO2, 0–0.2 for CO, and 90–560 for CO2. Analysis of the resulting wood ash showed metal levels in gkg-1 in the range 2.16–10.37 for Ca, 0.29–1.58 for Mg, 1.04–3.53 for Zn, and 0.24–0.84 for Al. Compared to the recommended short term exposure limits, the observed gas levels of SO2 and NO2 indicate environmentally unfriendly nature of some of the commonly used domestic fuel wood and the possible risk of respiratory, pulmonary and carcinogenic diseases that could be associated with their regular usage. The wood ash composition suggests it could serve a friendly utilization as soil additive for agricultural purposes for soils whose compositions show deficiency of these metals.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.501

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 head0.060
GPT teacher head0.312
Teacher spread0.252 · 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