Bibliographic record
Abstract
Results of experimental investigations in the dry system PtS–PdS–NiS between 1200 ° and 700°C are presented. The phases encountered in the experimental runs are synthetic cooperite [(Pt,Pd,Ni)S], synthetic braggite [(Pt,Pd,Ni)S], synthetic vysotskite [(Pd,Pt,Ni)S], quenched sulfide liquid, and Ni1–xS. Synthetic cooperite is stable to temperatures above 1200°C, whereas synthetic braggite is stable at temperatures below 1100°C, and synthetic vysotskite, below 1000°C. Below 900°C in the system PtS–PdS– NiS, Ni-saturated synthetic cooperite, braggite, and vysotskite coexist with Ni1–xS. At 900°C, only Ni-saturated, Pd-free synthetic cooperite coexists with Ni1–xS, and synthetic braggite and Pd-bearing synthetic cooperite coexist with a Pd–Ni–Pt sulfide melt. At temperatures ≥ 1000°C, Ni-saturated synthetic cooperite and braggite coexist with a Pd–Ni–Pt sulfide melt. In the experiments, there is a clearly defined miscibility-gap between cooperite and braggite, but no gap was observed between braggite and vysotskite. The Ni content of braggite and vysotskite with varying Pt:Pd ratio in a Ni-saturated environment is a function of temperature. A higher Ni content indicates a lower temperature of equilibration, and can be estimated using the following equation: T [°C] = 998.07 (±7.88) + 0.05 (±0.02) Pt2 – 4.24 (±0.16) Ni2. In cooperite, a similar relationship between the Ni content and the temperature of equilibration is applicable between 1200 ° and 900°C.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".