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Record W4379046005 · doi:10.1175/jcli-3612masthead

Masthead

2023· paratext· fr· W4379046005 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Climate · 2023
Typeparatext
Languagefr
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsnot available
FundersUniversity of California, San DiegoUniversity of California, Los AngelesUniversity of California, Santa BarbaraJet Propulsion LaboratoryLamont-Doherty Earth Observatory, Columbia UniversityUniversity of Illinois at Urbana-ChampaignNational Oceanic and Atmospheric AdministrationSun Yat-sen UniversityEnvironment and Climate Change CanadaNanjing UniversityUniversitetet i BergenHebrew University of JerusalemFudan UniversityUniversity of California, DavisHanyang UniversityMet OfficeChinese Academy of SciencesUniversity of ReadingYork UniversityUniversity of OklahomaGoddard Space Flight CenterPrinceton UniversityUniversity of WashingtonInstitute of Atmospheric Physics, Chinese Academy of SciencesVictoria University of WellingtonOregon State UniversityGeorge Mason UniversityPortland State UniversityMcGill UniversityVictoria UniversityColorado State UniversityNational Aeronautics and Space Administration
KeywordsClimatologyGeologyMeteorologyEnvironmental scienceGeography

Abstract

fetched live from OpenAlex

publishes research that advances basic understanding of the dynamics and physics of the climate system on large spatial scales, including variability of the atmosphere, oceans, land surface

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)0.001
metaresearch head score (Gemma)0.006
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 score0.120
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8800.760

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 head0.101
GPT teacher head0.392
Teacher spread0.291 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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