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Record W3177492455 · doi:10.4095/328092

Traitement et production d'une série dendroisotopique millénaire

2021· report· en· W3177492455 on OpenAlexaffabout
M Naulier, Martine M. Savard, Christian Bégin, D Arseneault

Bibliographic record

Venuenot available
Typereport
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMillHistoryArchaeology

Abstract

fetched live from OpenAlex

The stable isotopic ratios of carbon and oxygen in tree rings are remarkable paleoclimatic data. In northeastern Canada, where climatic reconstructions longer than 500 years are very rare and where none is based on tree-ring isotopes, subfossil stems from boreal lakes can be used to produce long isotopic series. The most important steps in producing millennial isotopic series consist in selecting the material to study (lakes, living trees, subfossil stems) and the method to sample tree rings in order to obtain a climate reconstruction of high temporal resolution. The climatic significance of the isotopic ratios was determined by correlations with climatic parameters, and validated by our understanding of the physiological and pedogeochemical response mechanisms. The significant correlation obtained for the delta-18O series with summer maximal temperature has allowed reconstructing the mean of June-July maximum temperature over the last millennium by using subfossil stems recovered from a boreal lake. This new millennial series, the first isotopic series in northeastern Canada, is one of the first in the world to use delta-18O values as a proxy for climate. It brings new knowledge of the past climate for northeastern Quebec by highlighting that the medieval warm anomaly (1000-1250 AD) was as warm as the last three decades and the warming observed since 1970 is one of the most important of the last millennium.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.076
GPT teacher head0.383
Teacher spread0.307 · 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 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
Published2021
Admission routes2
Has abstractyes

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