MétaCan
Menu
Back to cohort
Record W1975762917 · doi:10.1002/adma.201201566

Measurements of Anisotropic (Off‐Axis) Friction‐Induced Motion

2012· article· en· W1975762917 on OpenAlexaff
Kai Kristiansen, Xavier Banquy, Hongbo Zeng, Eric Charrault, Suzanne Giasson, Jacob N. Israelachvili

Bibliographic record

VenueAdvanced Materials · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversité de MontréalUniversity of Alberta
FundersDivision of Materials Sciences and EngineeringBasic Energy SciencesU.S. Department of Energy
KeywordsAnisotropyShearing (physics)Materials sciencePerpendicularSurface forces apparatusSurface (topology)MechanicsNanotechnologyComposite materialMicaOpticsPhysicsGeometryMathematics

Abstract

fetched live from OpenAlex

A new 3D sensor-actuator attachment for a Surface Forces Apparatus (SFA) allows measurements of friction forces between surfaces in all 3 orthogonal directions. The anisotropic friction forces when shearing two mica surfaces separated by a nanometer-thin film of hexadecane can induce complex transient and steady-state motions involving displacements perpendicular to the applied force and nonzero velocity at all stages of back-and-forth sliding. Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.300
Teacher spread0.274 · 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

Citations23
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAdvanced MaterialsSame topicForce Microscopy Techniques and ApplicationsFrench-language works237,207