MétaCan
Menu
Back to cohort
Record W1981813842 · doi:10.1142/s0217984901001483

IRRADIATION-INDUCED INTER- AND INTRA-GRANULAR MODIFICATIONS BY 120 MeV S IONS IN <font>YBa</font><sub>2</sub><font>Cu</font><sub>3</sub><font>O</font><sub>7</sub> THICK FILMS

2001· article· en· W1981813842 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

VenueModern Physics Letters B · 2001
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsnot available
FundersUniversity Grants CommissionMcGill University
KeywordsIrradiationMaterials scienceIonMicrostructureGrain boundaryAnalytical Chemistry (journal)Composite materialPhysicsNuclear physicsChemistry

Abstract

fetched live from OpenAlex

The evolution of microstructure under swift heavy ion (SHI) irradiation is probed in a granular medium such as YBCO thick films prepared through diffusion reaction technique. From the temperature-dependent in situ resistivity measurement during ion irradiation, we have been able to isolate the irradiation induced modifications at the grain boundaries and the grains. With 120 MeV S ion irradiation, we show that in addition to damaging the insulating grain boundaries and hence destroying superconducting phase coherence, ion irradiation brings about an improvement in the microstructure of the cuprates. Irradiation is shown to induce alignment of the grains in an otherwise randomly oriented granular superconductor.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.365
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.209
Teacher spread0.198 · 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