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
Abstract The chemical and phase compositions of four different slags were studied with emphases on the form of Nickel, Cobalt and Copper. These were INCO slow cooled (IS), INCO fast cooled (IF), Falconbridge‐Sudbury fast cooled (FFS) and Falconbridge‐Timmins fast cooled (FFT) slags. The amount of each of Ni, Co and Cu in all the slags was less than 1%. IS contained the highest amount of Ni and Co of 0.57% and 0.21% respectively. The highest Cu content was found in FFS (0.87 %). The form of Co in all the slags was primarily oxide (> 98%). However, significant portions of Ni and Cu (20%) in IF and IS slag were in the sulphide form. Finer fractions (<270 mesh) of these slags were richer in sulphide forms of Ni and Cu (40%). X‐ray analysis revealed FFS and FFT as predominantly amorphous. Both slags were homogenous, consisting of mainly iron silicate glass. However, IF and IS slags were mostly crystalline, with two predominant phases, fayalite and spinel. In addition, a smaller amount of feldspar (albite) was observed in IS. Reflected light microscopy observation showed more crystalline phases in IS than IF. SEM‐EDS analysis, EMPA elemental mapping and reflected light microscopy studies all indicated the presence of entrained sulphide particles in the slag samples.
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