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Record W4285098791 · doi:10.1002/ntls.10013

Issue Information

2022· paratext· en· W4285098791 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNatural Sciences · 2022
Typeparatext
Languageen
FieldMaterials Science
TopicCovalent Organic Framework Applications
Canadian institutionsnot available
FundersShanghai Institute of Organic Chemistry, Chinese Academy of SciencesSchool of MedicineUniversity of TorontoUniversity of California, San DiegoRIKEN Center for Biosystems Dynamics ResearchUniversity of Science and Technology of ChinaTechnische Universität BerlinJustus Liebig Universität GießenUniversity of Hong KongRijksuniversiteit GroningenUniversità degli Studi di FirenzeUniversity of OxfordUniversity of BathRIKENHebrew University of JerusalemKing's College LondonFudan UniversityNorthwestern UniversityHarvard UniversityPhilipps-Universität MarburgPohang University of Science and TechnologyWashington University in St. LouisUniversity College LondonUniversity of California, Los AngelesCalifornia Institute of TechnologyRadboud UniversiteitUniversity of Pennsylvania
KeywordsCitationComputer scienceInformation retrievalWorld Wide WebLibrary science

Abstract

fetched live from OpenAlex

a semiconducting porous organic polymer network replaces all conventional additives in Si-Li anodes enabling the one-pot production of more-performant, flexible and thermally stable electrodes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.239
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2310.130

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 head0.012
GPT teacher head0.295
Teacher spread0.283 · 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