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Record W7117167216 · doi:10.1021/ocv011i012_2022926

Issue Editorial Masthead

2025· article· en· W7117167216 on OpenAlexfundno aff

Bibliographic record

VenueACS Central Science · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalUniversity of North Carolina at Chapel HillUniversity of California, Los AngelesTechnion-Israel Institute of TechnologyUniversité de ParisNanjing UniversityPeking UniversityRWTH Aachen UniversityUniversità degli Studi di SalernoKoç ÜniversitesiTsinghua UniversityUniversität WienInstitut Català d'Investigació QuímicaUniversity of TorontoUlsan National Institute of Science and TechnologyVanderbilt UniversityInstituto Politécnico NacionalUniversity of Science and Technology of ChinaUniversiteit van AmsterdamHarvard UniversityTel Aviv UniversityGeorgia Institute of TechnologyCalifornia Institute of TechnologyMassachusetts Institute of TechnologyUniversity of SydneyPrinceton University
KeywordsNucleofectionGestational periodTSG101DysgeusiaLiquationDiafiltrationEmperipolesisTriacetinDurvalumab

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.017
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.543
Threshold uncertainty score0.653

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.001
Science and technology studies0.0030.001
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.5430.356

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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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
GenreEditorial

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 abstractno

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