MétaCan
Menu
Back to cohort
Record W2023324270 · doi:10.1063/1.1290039

Cryogenic magnetic force microscope

2000· article· en· W2023324270 on OpenAlexaff
M. Roseman, Peter Grütter

Bibliographic record

VenueReview of Scientific Instruments · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicroscopeInterferometryCantileverMagnetic force microscopeOpticsMaterials scienceVibrationMagnetic resonance force microscopyBellowsVibration isolationScanning Hall probe microscopeNoise (video)Optical fiberMagnetic fieldAcousticsPhysicsElectron microscopeComputer scienceConventional transmission electron microscope

Abstract

fetched live from OpenAlex

We describe our cryogenic magnetic force microscope, operating between 4.2 and 300 K, in fields of 0–8 T. The system uses a fiber optic interferometer to measure cantilever deflections, permitting the tracking of the resonance frequency through the use of a phase locked loop. Piezoelectric positioners, capable of operation in high magnetic fields, perform in situ tip and fiber approaches. As an effective means of vibration isolation, we suspend the microscope from a soft bellows which attenuates vibrations by more than an order of magnitude. A detailed noise analysis indicates that although the microscope is thermally limited, the system frequency resolution is currently limited by the shot noise of the interferometer.

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: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.008
GPT teacher head0.274
Teacher spread0.266 · 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

Citations42
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueReview of Scientific InstrumentsSame topicForce Microscopy Techniques and ApplicationsFrench-language works237,207