MétaCan
Menu
Back to cohort
Record W2737866944 · doi:10.1002/ejic.201700684

Long‐Range Antiferromagnetic Order on Spin Ladders SrFe<sub>2</sub>S<sub>2</sub>O and SrFe<sub>2</sub>Se<sub>2</sub>O As Probed by Neutron Diffraction and Mössbauer Spectroscopy

2017· article· en· W2737866944 on OpenAlexaff
Hanjie Guo, M. T. Fernández‐Díaz, A. C. Komarek, Sungjoon Huh, Péter Adler, Martin Valldor

Bibliographic record

VenueEuropean Journal of Inorganic Chemistry · 2017
Typearticle
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsUniversity of British Columbia
FundersDeutsche Forschungsgemeinschaft
KeywordsAntiferromagnetismNeutron diffractionSuperexchangeChemistryCondensed matter physicsMagnetic structureFerromagnetismSpin (aerodynamics)Ground stateCrystallographyMagnetic momentSpinsMagnetismMagnetizationPhysicsMagnetic fieldCrystal structureAtomic physics

Abstract

fetched live from OpenAlex

Powder neutron diffraction data on spin ladder compounds SrFe2Ch2O (Ch = S, Se) indicate that their magnetic ground states feature long‐range antiferromagnetic spin ordering with k = [0,0,0]. The superexchange interaction is antiferromagnetic across each rung via oxygen but ferromagnetic along the ladders via Ch. At 10 K, the ordered spins point towards the center of the ladders but are faintly canted away from a collinear state. The sizes of the ordered moments are 3.3 and 3.5 µB Fe–1 for SrFe2S2O and SrFe2Se2O, respectively. The polar, heteroleptic, tetrahedral FeCh3O coordination suggests an angle of 8° between the local structure polarity and the magnetic moment spin orientation. Mössbauer spectroscopic data confirm the magnetic ordering scenario and indicate that the local Fe–O bond rules the electric field gradient at the Fe‐site.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.250
Teacher spread0.238 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations11
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Inorganic ChemistrySame topicIron-based superconductors researchFrench-language works237,207