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Comment on egusphere-2023-902

2023· peer-review· en· W4385335299 on OpenAlexfundaboutno aff
Antoine Lachance

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
FundersDalhousie University
KeywordsStormLandfallClimatologyWinter stormNova scotiaEnvironmental scienceMiddle latitudesStorm surgeClimate changeNatural hazardTropical cycloneMeteorologyOceanographyGeographyGeology

Abstract

fetched live from OpenAlex

<strong class="journal-contentHeaderColor">Abstract.</strong> An unusually severe hurricane struck Nova Scotia during the Seven Years&rsquo; War (1756&ndash;1763), causing exceptional damage to the ships of two naval fleets. Its impact was so much greater than that of modern storms that it warranted detailed study. Quantitative storm attributes were extracted from hourly entries in logs of multiple ships scattered by the hurricane. Wave height and wind data at multiple ship locations characterized storm intensity which was compared to storm surge calculated at two coastal sites. A comparison to modern Atlantic hurricanes suggests it was a major hurricane, likely Cat 4 intensity at landfall making it more powerful than any modern (post-1851) storm despite the colder climate of the Little Ice Age (LIA c1300&ndash;1850). Mean annual and multi-decadal climate trends did not capture the weather (days to weeks) that fueled this storm. Understanding its climatology and that of other major LIA midlatitude hurricanes can improve our understanding of natural variability and potential future impacts under warming oceans.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.600
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1450.069

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 head0.064
GPT teacher head0.313
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes2
Has abstractyes

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