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Record W7104647311 · doi:10.48579/pro/it3txe

Bassin de la Seine: Carte des sources et de leurs débits en saison sèche (1881-1884)

2025· dataset· W7104647311 on OpenAlex

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.

Bibliographic record

Venuedata.InDoRES · 2025
Typedataset
Language
Field
Topic
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsTable (database)Altitude (triangle)Georeference

Abstract

fetched live from OpenAlex

Carte vectorisée de 590 sources d’eau du bassin de la Seine. La carte d’origine (AN F/14/12401) représente ces sources sur une carte au 1/500 000è avec des cercles dont la surface est proportionnelle au débit minimum constaté pendant quatre années consécutives de saison sèche (1881, 1882, 1883, 1884). Sur la carte vectorisée, les cercles gris indiquent les sources appartenant à la Ville de Paris (donnée issue de la carte d'origine), les cercles rouges les autres sources. La table attributaire associée à la carte vectorisée indique le nom des sources, leur altitude (m), le diamètre des cercles mesurés à la règle (en mm) (données issues de la carte d'origine) et le calcul de leur surface (en mm2). Voir l’utilisation de ces données dans le rapport PIREN Seine a1bx_Millot_2025 Carte d’origine : Archives Nationales Cote : F/14/12401 Vectorisation A Baro (2023) Saisie des points et de leur diamètre L Millot (2023) Producteur de la métadonnée L Millot (2025)

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)0.015
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.017
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0030.004
Science and technology studies0.0020.005
Scholarly communication0.0040.003
Open science0.0160.012
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0010.004

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 head0.052
GPT teacher head0.383
Teacher spread0.332 · 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

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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