MétaCan
Menu
Back to cohort
Record W4382397776 · doi:10.30572/2018/kje/321260

دراسة و تحليل لكميات الغبار المتساقط على القطاع السكني لمدينة النجف الاشرف

2014· article· en· W4382397776 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueKufa Journal of Engineering · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Policies and Emissions
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceQuarter (Canadian coin)Wind speedAtmospheric sciencesHumidityRelative humidityRange (aeronautics)MeteorologyPhysical geographyGeographyMaterials scienceGeologyArchaeology

Abstract

fetched live from OpenAlex

This paper has been carried out to study the precipitate dust particles in residential area at Al-Najaf Al- Ashraf city, with special site of Alsaad quarter. It also studied the impact of the most important climatic characteristics ( such as temperatures, wind speed, humidity and evaporation, and rain) with rate affecting the collection the dust particles and to identify the levels of generation at the city. Also the climatic properties of city had been analyzed that resulted in Knowing the range of dust collected. And to identify the environmental impact of the collecting precipitate dust particles, samples were taken at Alsaad quarter by using metal cylinder, for three years from 2007 until 2009, at monthly rate for each sample. The most important results of this paper are the seasonal changes of the climate with anthropogenic activities accompanied by seasonal changes in dust quantities. Finally, the conclusions and recommendations which help the reducing of the risks of this important problem were presented.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.999

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)0.0010.000

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 head0.003
GPT teacher head0.166
Teacher spread0.163 · 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