THE SYSTEM Hg-Pd-Se AT 400 C: PHASE RELATIONS INVOLVING TISCHENDORFITE AND OTHER TERNARY PHASES
Bibliographic record
Abstract
Abstract Phase relations in the Hg–Pd–Se system were studied by the evacuated silica glass tube technique. For kinetic reasons, experiments were performed in the range 350–400 oC. We present here the 400 oC condensed isothermal section for the Hg–Pd–Se system, based on literature data and on our experiments. Two ternary phases were known previously: Pd 8 Hg 3 Se 9 , which corresponds to tischendorfite, and Pd 2 HgSe 3 . We report here on a third phase, Pd 5 HgSe. Tischendorfite forms stable assemblages with palladseite (Pd 17 Se 15 ), tiemannite (HgSe), potarite (PdHg), and with the phase Pd 2 HgSe 3 . In turn, Pd 2 HgSe 3 forms stable assemblages with PdSe 2 (orthorhombic), palladseite (Pd 17 Se 15 ), tischendorfite (Pd 8 Hg 3 Se 9 ), and tiemannite (HgSe). The phase Pd 5 HgSe, stable near the Pd-rich corner of the system, forms stable assemblages with metallic Pd, PdHg (potarite), palladseite (Pd 17 Se 15 ), and other Pd-rich binary palladium selenides. Palladseite forms limited solid-solution and dissolves up to 4.15 at.% Hg at 350 oC. This solid solution forms stable assemblages with Pd 8 Hg 3 Se 9 , PdSe 2 , and HgPd (potarite). There are no joins involving HgSe (tiemannite) and binary Pd selenides.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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 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".