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Record W7090359429 · doi:10.5281/zenodo.17344034

math-comp/math-comp: The Mathematical Components Library 2.5.0

2025· other· en· W7090359429 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsPrevention of Organ Failure
Fundersnot available
KeywordsDependency (UML)Component (thermodynamics)Algebraic numberSet (abstract data type)

Abstract

fetched live from OpenAlex

This release is compatible with Coq 8.20 and Rocq 9.0 and 9.1. The main changes are: multiple refinements of the algebraic hierarchies (this may lead to a few small breakages, in which case we recommend using Rocq 9.1 that should minimize such breakages in the future) package mathcomp-ssreflect got split into mathcomp-boot and mathcomp-order, if you weren't using the order.v file, replacing your mathcomp-ssreflect dependency by mathcomp-boot may save you some compilation time See the CHANGELOG.md file for more details.

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)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.381
Threshold uncertainty score0.883

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0060.005
Open science0.0060.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.3810.451

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 head0.025
GPT teacher head0.241
Teacher spread0.215 · 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.

Study designNot applicable
Domainnot available
GenreSoftware

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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