A study of the wind regime at an altitude of about 100 km by the meteor-radar method
Bibliographic record
Abstract
The meteor-radar method was proposed by Manning, Villard & Peterson (I950) in 1950 and in recent years has been widely used for investigating lower thermosphere circulation. Wind measurements by the meteor-radar method have been carried out in Australia (Elford I959), England (Greenhow & Neufeld I96I; Muller I966), U.S.A. (Barnes I969), France (Spizzichino I969), U.S.S.R. (Lysenko et al. I969), Canada (Hook I970), Germany (Jacobs I958). In the Soviet Union the meteor-radar method is used at nine stations (Lysenko et al. I969). At three of them Heiss Island (80.5? N), Obninsk (550 N) and Molodezhnaya (67? S) the experiments are carried out by the Institute of Experimental Meteorology (I.E.M.). In this paper the wind results obtained by I.E.M. at these sites in 1964-8 are described. In addition, data obtained by B. L. Kashcheyev at Kharkov, K. A. Karimov at Frunze, E. I. Fialko at Kiev, R. P. Chebotaryev at Dushanbe and M. K. Nazarenko at Tomsk and those published in Lysenko et al. (I969) have been used here.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
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".