The questions of magnetism titanomagnetite ores Gusevogorskoye deposits (measuring on the samples)
Bibliographic record
Abstract
Put in order the results of measurements of a number of magnetic parameters on samples of titanomagnetite ores Gusevogorskoye deposit by standard methods: magnetoacoustic emission, the Curie temperature, residual and induced magnetization. It is shown that ore magnetism is conditioned by one the magnetic phase, but with the changing content of trace elements. It was noted the presence of maghemite a second magnetic phase in areas with advanced oxidation processes only. Is also noted a wide range of changes by induced (0.37-321.8 A/m) and residual (0.19-7685 A/m) of the magnetizations. Obviously, this is due to both the change in the amount of mineralization and textural-structural features highlight it. These processes led to the formation of different domain structures and predetermine the magnitude and direction of residual magnetization. The residual magnetization of the sample, which is the sum thermoremanent, chemical, crystal, viscous and dynamic magnitizations, due to the possible prevalence of the dynamic magnitization is not always adequately reflect the NRM of titanomagnetite ores in-situ.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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 teacher head, 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".