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Record W2917344725 · doi:10.3103/s1068373911020105

Ozone content over the Russian federation in 2010

2011· article· en· W2917344725 on OpenAlexaboutno aff
A. M. Zvyagintsev, N. S. Ivanova, G. M. Kruchenitskii

Bibliographic record

VenueRussian Meteorology and Hydrology · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
Fundersnot available
KeywordsObservatoryEnvironmental scienceRussian federationAnomaly (physics)SatelliteOzoneMeteorologyQuarter (Canadian coin)Spring (device)ClimatologyGeographyGeologyPhysicsRegional scienceAstronomy

Abstract

fetched live from OpenAlex

The review is compiled based on the results of the operation of the total ozone (TO) monitoring system in the CIS and Baltic countries, functioning in the operational regime at the Central Aerological Observatory (CAO). The monitoring system uses the data from the national network of filter ozonometers M-124 type under supervision of the Main Geophysical Observatory (MGO). The proper operation of the entire system is under an operational control from observations with the OMI satellite (US NASA) equipment. Basic TO observation data for each month of the fourth quarter of 2010, for the quarter and the year as a whole are generalized. Peculiarities of the Spring Antarctic Ozone Anomaly development in 2010 are described. Basic results of regular observations of the surface ozone and other minor atmospheric gas components in the Moscow region in 2010 are also under consideration.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.033
GPT teacher head0.212
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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