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Record W6980258354

BioéthiqueOnline: Moving to Peer-Review / BioéthiqueOnline : Passage à l’évaluation par les pairs

2012· article· fr· W6980258354 on OpenAlexaboutno aff

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2012
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSet (abstract data type)Sequence (biology)Field (mathematics)Feature (linguistics)Point (geometry)
DOInot available

Abstract

fetched live from OpenAlex

révision par les pairs Peer-review An open invitationThrough these changes, BioéthiqueOnline continues to pursue its goal of becoming a sustainable and reputable online journal that will stimulate its readership with engaging, topical and thought-provoking bioethics content.Another of our goals is to encourage our readers and authors (students, professors and researchers) to participate actively in dialogue amongst the Canadian and international bioethics communities, so that bioethics research in bioethics, in French and English, can be debated and questioned by a diversity of stakeholders.It is thus with great pleasure that BioéthiqueOnline invites the bioethics community to submit articles for peer-review.

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)0.287
metaresearch head score (Gemma)0.548
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.713
Threshold uncertainty score0.880

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2870.548
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.004
Science and technology studies0.0160.013
Scholarly communication0.0360.020
Open science0.0050.018
Research integrity0.0150.017
Insufficient payload (model declined to judge)0.0320.018

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainEvaluation
GenreCommentary

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
Published2012
Admission routes1
Has abstractyes

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