Fe-Si-gel like injections in banded iron formations of the Musselwhite Mine (Canada)
Bibliographic record
Abstract
A sample of banded iron formation from a drill core from the Musselwhite Gold Mine, Ontario, Canada, shows millimeter-wide opaque veins at a low angle to the foliation with perpendicular offshoots. The veins are non-crystalline, structureless and chemically homogeneous, with oxide weight percentages of 35 % FeO, 40 % SiO2, 5 % MnO, 5 % MgO and 1 % CaO. The remaining ca. 15 % might be attributed to water content. Despite the water, the composition is very similar to the bulk rock composition, consisting mainly of grunerite and quartz. The overall geometry of the veins resembles the appearance of a pseudotachylyte with injection veins, partly sharp boundaries, and clasts of the host rock. However, no other indicative observations such as flow banding, quenched margins or corrosion of clasts can be made. Instead, the vein is overgrown by euhedral quartz, nucleating from wall rock quartz crystals. Some of the material is emplaced in a calcite vein where the calcite seems to be fragmented. EBSD orientation data show that the fragments have the same orientation as calcite crystals remaining attached to the wall rock. Calcite crystals are therefore not displaced, but rather dissolved or replaced by the vein filling material, but without leaving a chemical signature. We therefore favor an Fe-Si rich gel-like injection origin of the veins. It remains unclear, how the gel was produced and how it is mechanically possible to inject such a gel into a solid rock and replace calcite.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".