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Record W4312800539 · doi:10.1175/mwr-15010masthead

Masthead

2022· paratext· en· W4312800539 on OpenAlexfundno aff

Bibliographic record

VenueMonthly Weather Review · 2022
Typeparatext
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsnot available
FundersPacific Northwest National LaboratorySandia National LaboratoriesUniversity at AlbanyNational Oceanic and Atmospheric AdministrationStony Brook UniversityUniversity of California, San DiegoEuropean Centre for Medium-Range Weather ForecastsSun Yat-sen UniversityEnvironment and Climate Change CanadaNanjing UniversityUniversity of Colorado BoulderNorth Carolina State UniversityUniversität ZürichNational Central UniversityNational Environmental Satellite, Data, and Information ServiceClimate ExtremesFlorida International UniversityPennsylvania State UniversityOhio State UniversityUniversity of TokyoOffice of Naval ResearchColorado State UniversityOak Ridge National LaboratoryUniversity of OklahomaUniversity of MiamiCleveland State University
KeywordsGeologyMeteorologyPhysics

Abstract

fetched live from OpenAlex

REVIEW (MWR) publishes research relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies.This research includes numerical and data assimilation techniques that apply to the atmosphere and/or ocean environments.MWR also addresses phenomena having seasonal and subseasonal time scales.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.402
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5980.535

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 head0.041
GPT teacher head0.264
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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