MétaCan
Menu
Back to cohort
Record W2990650203 · doi:10.1039/c9dt03934a

Highly dense Sr<sub>0.95</sub>Sm<sub>0.0125</sub>Dy<sub>0.0125</sub>□<sub>0.025</sub>Ti<sub>0.90</sub>Nb<sub>0.10</sub>O<sub>3±δ</sub>/ZrO<sub>2</sub> composite preparation directly through spark plasma sintering and its thermoelectric properties

2019· article· en· W2990650203 on OpenAlexaff
Hamed Bakhshi, Rasoul Sarraf‐Mamoory, Amin Yourdkhani, Ahmed Ali AbdelNabi, Yurij Mozharivskyj

Bibliographic record

VenueDalton Transactions · 2019
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsBrockhouse Institute for Materials ResearchMcMaster University
Fundersnot available
KeywordsMaterials sciencePhysics

Abstract

fetched live from OpenAlex

The Sr <sub>0.95</sub> Sm <sub>0.0125</sub> Dy <sub>0.0125</sub> □ <sub>0.025</sub> Ti <sub>0.90</sub> Nb <sub>0.10</sub> O <sub>3±δ</sub> /ZrO <sub>2</sub> composite was directly prepared through spark plasma sintering.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.019
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0030.006
Science and technology studies0.0050.002
Scholarly communication0.0030.008
Open science0.0040.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0000.005

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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueDalton TransactionsSame topicAdvanced Thermoelectric Materials and DevicesFrench-language works237,207