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
In aluminum alloys one of the most pervasive and important impurity elements is iron, stemming from the impurities in bauxite ores and the contamination of ferrous metals such as melting tools. Since iron has a very low solid solubility in aluminum (max. 0.05%), almost all iron in aluminum alloys is present in the form of second intermetallic phases. One of the most common Fe-rich intermetallics that form in cast and wrought aluminum alloys upon solidification is the β-Al₅FeSi phase. This phase has long been thought to be brittle and responsible for the inferior mechanical properties (in particular ductility) of aluminum cast alloys. The commonly accepted method to ameliorate the harmful influence of iron is the addition of one or more corrective elements. Such additions generally convert the β-Fe platelets into α-Fe dendrites. Various studies have been carried out by researchers on the modification of β-Al₅FeSi intermetallics in aluminum alloys using Mn, Cr, Co, Mg, Sr, Li and Be. The relative effectiveness of these elements is collected and compared in the present review. The mechanisms for the action of the chemical modifiers are critically reviewed particularly in the light of the modern theory of their nucleation on oxide films present in aluminum melts, probably in large populations. The new insights into the Fe-rich phase in aluminum alloys will aid in better understanding the role of iron in aluminum alloys.
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) | 0.015 | 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