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Record W2373593922

Spatial and Temporal Characteristics of the Consecutive Dry Days in Recent 53 Years in Mainland China

2014· article· en· W2373593922 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Arid Meteorology · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Changes in China
Canadian institutionsScience North
Fundersnot available
KeywordsMainland ChinaChinaEnvironmental sciencePrecipitationClimatologyGeographySpring (device)MainlandPhysical geographyMeteorologyGeology
DOInot available

Abstract

fetched live from OpenAlex

Based on the daily precipitation data from 508 meteorological stations in mainland China from 1960 to 2012,the seasonal variation of consecutive dry days( CDD) was analyzed. The results indicated that regional mean of CDD in winter and spring decreased in the last 53 years,and the decreasing rate in winter was up to-0. 7 d /10 a. The variation trend of CDD was not obvious in summer,but the regional mean of CDD in autumn showed an increasing trend. During 1960-2012,for most parts of mainland China,CDD in spring decreased significantly and the tendencies ranged between-0. 41 d /10 a and 0. 41 d /10 a. In summer,CDD showed decreasing trend in 59% stations and increasing trend in 41% stations. In autumn,69% and 31% meteorological stations presented increasing and decreasing trend,respectively. In winter,most parts of mainland China experienced a significant decrease of CDD,and the tendencies ranged from-0. 62 d /10 a to 0. 44 d /10 a,thereinto,66% stations showed decreasing trend,and 34% stations showed increasing trend.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.218
Teacher spread0.211 · 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