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Record W1583156924 · doi:10.7202/033025ar

A Canadian Contribution to the Paleoclimate Model Intercomparison Project (PMIP)

2007· article· en· W1583156924 on OpenAlexfundvenueaboutno aff
Hélène Jetté

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersUniversité de Montréal
KeywordsPaleoclimatologyClimatologyInsolationDeglaciationPeriod (music)General Circulation ModelIce sheetGeologyClimate modelRange (aeronautics)Climate changeEnvironmental sciencePhysical geographyGeographyOceanographyHolocene

Abstract

fetched live from OpenAlex

PMIP (Paleoclimate Model lntercomparison Project) is designed to compare and improve the ability of General Circulation Models (GCMs) to simulate a wide range of climatic conditions including known features of past climatic states that are significantly different from present conditions. One of the first simulations of past climate conducted under this project targets the 6000 yr BP period for the following reasons: 1) deglaciation was complete and the last remnants of the Laurentide Ice Sheet had essentially disappeared by this time, 2) sea surface temperatures approached modern values, 3) the orbital insolation regime was the only major boundary condition significantly different from present, and 4) a number of study sites can already be used to provide preliminary paleoenvironmental reconstructions for this period. Contributions from the Canadian scientific community towards this experiment are presented, following a brief overview of Canadian modern environmental conditions which places the regional contributions into a broader perspective.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.022
GPT teacher head0.288
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations8
Published2007
Admission routes3
Has abstractyes

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