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Record W2021777632 · doi:10.3137/ao.420302

Changes in winter cyclone frequencies and strengths in transient enhanced greenhouse warming simulations using two coupled climate models

2004· article· en· W2021777632 on OpenAlex
Stéphane Lambert

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueATMOSPHERE-OCEAN · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsClimatologyEnvironmental scienceCyclone (programming language)General Circulation ModelPrecipitationAtmospheric sciencesGlobal warmingGreenhouse gasClimate modelClimate changeTransient (computer programming)MeteorologyGeographyGeology

Abstract

fetched live from OpenAlex

Abstract Changes in winter cyclone frequencies and strengths resulting from global warming are examined in an ensemble of 250‐year transient enhanced greenhouse warming simulations using two versions of the Canadian Centre for Climate Modelling and Analysis (CCCma) coupled general circulation model. Over the course of the integrations, there is a general decrease in the number of cyclone events in both the northern and the southern hemispheres. Although the total number of cyclone events decreases, the number of intense events in both hemispheres increases. The relation between the low‐level temperature field and the total number of events as well as the relation between precipitation and intense events are discussed.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.999

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)0.0000.000

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 head0.021
GPT teacher head0.259
Teacher spread0.238 · 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