Types, structure and location of fractured gold pockets
Bibliographic record
Abstract
Fractured gold ore pockets of various types are classified and their structure is described in detail. This will allow explorationists to confirm high-grade gold ores, which is especially important in underground deposit mining. Gold pockets were mapped and analyzed by the author at deposits in Uzbekistan (Muruntau, Daugyz, Charmitan, Kokpatas), eastern Trans-Baikal region (Darasun, Balei, etc.) and Kochkarskoye (South Urals). Also, the paper describes the material collected by the author at gold pockets in Natalkinskoye, Nezhdaninskoye, Pavlik and Kyuchus deposits in Yakutia, Berikul in Western Siberia, Bakyrchik in Kazakhstan as well as deposits from Australia (Kalgoorlie, Northman, etc.), USA (Comstock, etc.), Canada (Porcupine), among others.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".