MétaCan
Menu
Back to cohort
Record W2729812129 · doi:10.1088/2053-1591/aa717a

Effect of Ti<sup>4+</sup>doping on magnetic properties of charge ordered Bi<sub>0.3</sub>Ca<sub>0.7</sub>MnO<sub>3</sub>

2017· article· en· W2729812129 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Research Express · 2017
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsBrock University
FundersResearch and Innovation FoundationBrock University
KeywordsDopingMaterials scienceCondensed matter physicsCharge (physics)CrystallographyPhysicsChemistry

Abstract

fetched live from OpenAlex

The effect of Ti doping in Bi 0.3 Ca 0.7 Mn 1− x Ti x O 3 (where x = 0.0, 0.015, 0.03, 0.05, 0.08, 0.12 and 0.16) on structural, magnetic and transport properties have been studied. The charge-ordering temperature ( T CO ) decreases gradually with increasing Ti doping content, and finally disappears completely for x = 0.12. The Neel temperature ( T N ) also decreases with increasing Ti doping content. A transition to a cluster glass like state is observed at T ⩽ T N . The zero field cooled/field cooled (ZFC/FC) magnetization decreases at high temperature ( T > 200 K) with increasing Ti content, whereas an opposite trend is observed at low temperature ( T < 200 K). Small exchange bias effect is also observed for x = 0.08 at 10 K. The resistivity increases with increasing Ti doping content. The disorder induced by Ti doping on the Mn site plays a key role in explaining the observed magnetic and electrical properties.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.279
Teacher spread0.248 · 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