MétaCan
Menu
Back to cohort
Record W2985868171 · doi:10.25518/0037-9565.9103

Minéralogie des filons quartzeux cuivre-plomb de Chanly

2019· article· fr· W2985868171 on OpenAlexaff
Michel Blondieau, Stéphane Puccio, Frédéric Hatert, Yannick Bruni

Bibliographic record

VenueBulletin de la Société Royale des Sciences de Liège · 2019
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsChemistryHumanitiesNuclear chemistryArt

Abstract

fetched live from OpenAlex

La région de Chanly (Province de Luxembourg, Belgique) compte de nombreux indices minéralisés avec chalcopyrite et galène dans des veines de quartz logées dans des encaissants du dévonien inférieur. À côté des espèces classiques de ces filons métalliques Cu-Pb, on trouve également quelques espèces plus rares telles que la beaverite-(Cu) et la scotlandite notamment. Dans un contexte chimique assez simple (pas de phosphore, pas d'arsenic), les espèces formées aux dépens des sulfures sont des oxydes, hydroxydes, carbonates et sulfates.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.013
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.004

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 head0.050
GPT teacher head0.307
Teacher spread0.257 · 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 designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBulletin de la Société Royale des Sciences de LiègeSame topicMineralogy and Gemology StudiesFrench-language works237,207