Озоновый слой и погодные аномалии зимы 2011-2012 гг. В Северном полушарии
Bibliographic record
Abstract
The main reason of weather anomalies is the fluctuations of ttotal ozone in atmosphere. The reasons of such fluctuations are the emissions of the deep, ozone-depleting gases (hydrogen and methane) and variations of a geomagnetic field. Positive ozone anomalies form anticyclones, which are dry, heavy and slow-moving mass of tropospheric air. Negative anomalies of ozone warm the air and form a low pressure cyclonic. It can be tipped nearer anti-cyclones, bringing abnormal temperature, both high, reinforcing the warming, and low, causing a sudden cold snap. For a comparative analysis of the December (2011) fields of ozone and weather anomalies, I used the map of monthly anomalies of total ozone (TO), and the official text from official website of Russian Hydrometeorological Center was used for the integral month weather characteristics. ozone anomalies; weather anomalies; Montreal protocol; Kyoto protocol; global warming; ozone layer; deep degassing; hydrogen
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".