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Record W4291227706 · doi:10.1007/s10948-022-06365-8

Evidence Against Superconductivity in Flux Trapping Experiments on Hydrides Under High Pressure

2022· article· en· W4291227706 on OpenAlexafffund
J. E. Hirsch, F. Marsiglio

Bibliographic record

VenueJournal of Superconductivity and Novel Magnetism · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSuperconductivityFlux (metallurgy)Condensed matter physicsMagnetic fluxTrappingMaterials scienceFlux pumpingHigh-temperature superconductivityFlux pinningHydrogenPhysicsMagnetic field

Abstract

fetched live from OpenAlex

Abstract It has recently been reported that hydrogen-rich materials under high-pressure trap magnetic flux, a tell-tale signature of superconductivity (Minkov et al., Trapped magnetic flux in hydrogen-rich high-temperature superconductors , Ref. 1). Here, we point out that under the protocol used in these experiments the measured results indicate that the materials don’t trap magnetic flux. Instead, the measured results either are experimental artifacts or originate in magnetic properties of the sample or its environment unrelated to superconductivity. Together with other experimental evidence analyzed earlier, this clearly indicates that these materials are not superconductors.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.244
Teacher spread0.187 · 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 teacher head, not a consensus.

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

Citations31
Published2022
Admission routes2
Has abstractyes

Explore more

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