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Record W4406439856 · doi:10.1002/ange.202500816

Innenrücktitelbild: Room‐temperature Magnetocapacitance Spanning 97K Hysteresis in Molecular Material (Angew. Chem. 8/2025)

2025· paratext· de· W4406439856 on OpenAlexaff
Ling‐Ao Gui, Jiawei Chen, Yifan Zhang, Long‐He Li, Jian‐Rong Li, Zhao‐Bo Hu, Shi‐Yong Zhang, Jinlei Zhang, Zhenyi Zhang, Heng‐Yun Ye, Peng Yan, Jing Ma, You Song

Bibliographic record

VenueAngewandte Chemie · 2025
Typeparatext
Languagede
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMagnetocapacitanceHysteresisCover (algebra)Materials scienceNanotechnologyCondensed matter physicsOptoelectronicsPhysicsFerroelectricityMultiferroicsEngineeringMechanical engineeringDielectric

Abstract

fetched live from OpenAlex

Magnetocapacitance has been studied for the first time in molecular complexes. The weak interaction between cations and anions in organic-inorganic hybrid materials triggers their structural thermal phase transition. The distinguished Jahn–Teller distortions in high- and low-temperature phases lead to different magnetoelectric coupling, as reported by Zhao-Bo Hu, Yan Peng, Jing Ma, You Song et al. in their Research Article (e202416380).

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.165
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1650.089

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 head0.009
GPT teacher head0.232
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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