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Record W6929472102 · doi:10.48579/pro/qzozvn

Aisne: Cours de l'Aisne de Soissons à Berneuil (1837)

2025· dataset· fr· W6929472102 on OpenAlexaff

Bibliographic record

Venuedata.InDoRES · 2025
Typedataset
Languagefr
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsParenthesisTerm (time)Closure (psychology)

Abstract

fetched live from OpenAlex

Cette carte a pour but d'indiquer l'emplacement de projets d'écluse sur l'Aisne entre Soissons et Berneuil. Une série de nouvelles écluses sont suggérées ainsi que l'assainissement du chemin de halage près de Crouy. Des écluses ont effectivement été réalisées près de Choisy au Bac, Rethondes, Fontenoy, et Vic-sur-Aisne. A Villeneuve-Saint-Germain, une écluse a bien été réalisée mais de l'autre côté de la rivière. Complété par un canal de dérivation, cet aménagement permet de raccourcir le temps de navigation. Le document est très simplement lavé. La végétation n'est pas figurée et seuls les chemins principaux sont indiqués. Elle ne possède ni titre, ni bordure, ni signature. Rasters GeoTIFF : EAT_Aisne_Soissons_Berneuil_1837_1.tif EAT_Aisne_Soissons_Berneuil_1837_2.tif EAT_Aisne_Soissons_Berneuil_1837_3.tif Service des Cartes et Plans des Archives Nationales. Cote AN F/14/10078/1/11. Numérisation en 2014. Géoréférencement en 2014 par Julie DAVODET. Métadonnées par Julie DAVODET et Juliette AUDET. Mise en ligne en avril 2015.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.295
Threshold uncertainty score0.587

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0560.007

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 head0.043
GPT teacher head0.335
Teacher spread0.292 · 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 designObservational
Domainnot available
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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Same venuedata.InDoRESSame topicGenetic Neurodegenerative DiseasesFrench-language works237,207