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Record W2390180394

REVIEWS ON STATUS OF WORLD'S IRON ORE RESOURCE USE

2011· article· en· W2390180394 on OpenAlex
Chengshuai Zhang

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsnot available
Fundersnot available
KeywordsIron oreBottleneckChinaResource (disambiguation)Metamorphic rockBusinessGeochemistryNatural resource economicsMining engineeringGeologyGeographyEconomicsOperations managementComputer science
DOInot available

Abstract

fetched live from OpenAlex

This paper give a brief reviews of the distribution of iron ores globally and the advances in China's iron ore exploration and researches.The iron ores are abundant,with most concentrating in a few countries,like Brazil,Australia,Russia and Canada,etc,who are both iron ore producers and exporters.Iron ores have a diversified genesis but sole in major category,displaying as sedimentary-metamorphic deposits globally and as sedimentary-metamorphic deposits and magmatic deposits in China.China ranks ahead in iron ore resource and production,but can not meet its appetite.The import of iron ores are subject to foreign mining giants,which is a challenge and opportunity.China shall give a balance between development and trading,and open the foreign mining market.A new world mining order is a key point to China's iron ore bottleneck.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.599

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 head0.070
GPT teacher head0.246
Teacher spread0.176 · 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

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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