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Record W2372613777

Analysis on Electricity Consumption by the Metallurgical Industry in the First Quarter of 2007 and the Trend for the Second Quarter

2007· article· en· W2372613777 on OpenAlex
Baoguo Shan

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

VenueElectric Power Technologic Economics · 2007
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Consumption (sociology)ElectricityFerrous metallurgyMetallurgyProduct (mathematics)BusinessNatural resource economicsEngineeringEconomicsMaterials science
DOInot available

Abstract

fetched live from OpenAlex

The first quarter of 2007 saw a drastic growth in electricity consumption by the metallurgy industry. The growth rate of power consumption by the iron steel industry and the non-ferrous metal industry were 28.83% and 29.12% respectively, which resulted from the fast economic growth. In the first quarter, driven by the huge demand both from home and abroad, the metallurgy industry increased its main metallurgical products to a large extent and the product composition was improved continually. With multitudes of products being exported, the metallurgical enterprises gained huge profits. It is forecasted that the economic operation of the metallurgical industry will still sustain a booming situation in the second quarter of 2007, and thus electricity consumption by the metallurgy industry will keep growing at a fast speed.

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)0.002
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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