R 1963 Isolation of Pyrite Spherules from Recent Sediments
Bibliographic record
Abstract
A microscopic examination of approximately 200 scdimcnt samples, mostly freshwater in origin, revealed an abundance of pyrite sphcrules in virtually all fine-graincd deposits that contained organic matter and reduced sulfur compounds. A specie1 study was made of the spherulcs in deep-water scdimcnts of Little Round Lake, Ontario. The spherules there numbered approximately 450,000 per gram of dry sediment, accounting for 0.6 % of the inorganic matter in the sediment. They ranged in diameter from 2 to 100 P, but 75% or more had a diamctcr less than 11 p. A method is described for the isolation of spherulitic pyrite from recent sediments based on heavy mineral centrifugation, flotation of pyrite spherulcs, and differential scdimenta-tion of pyrite after rupturing the spherulcs into their component microcrystals. A sample of spherulitic pyrite isolated from the sediments of Little Round Lake was composed as
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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 | 0.000 | 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) | 0.001 | 0.001 |
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".