Iron Ore Resources and Beneficiation Practices
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.
Bibliographic record
Abstract
Iron and Steel Industry provides foundation for indust-rial development of a country. The per capita consumption of steel is considered as one of the important parameters of a nation's prosperity. Iron ore is the basic raw mater-ial for iron and steel making. The world reserves of iron ore are estimated to around 370 bill on tonnes. The prin-cipal minerals of iron are the oxides(hematite and magne-tite), hydroxide (limonite and goethite) and carbonate (siderite). In nature the commercial deposits are mostly of bed type, although deposits of magnetic, contact meta-somatic and of a replacement nature also exist. In many cases, ground water circulation and weathering have resul-ted in concentration of the ore from primary sources. The major iron ore producing countries in the world are the Australia, Brazil, Canada, China, India, USA, Russia, Kazakhstan, South Africa, Ukraine and Sweden. Pre Cambrian banded iron formations containing 30% or more of iron are the predominant sources of iron.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it