MétaCan
Menu
Back to cohort
Record W4393660359 · doi:10.5281/zenodo.7945452

In Situ Exfoliation Method of Large-Area 2D Materials

2023· dataset· en· W4393660359 on OpenAlexaff
Antonija Grubišić‐Čabo, Matteo Michiardi, Charlotte E. Sanders, Marco Bianchi, Davide Curcio, Dibya Phuyal, Magnus H. Berntsen, Qinda Guo, Maciej Dendzik

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldEngineering
TopicIndustrial Vision Systems and Defect Detection
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIn situExfoliation jointMaterials scienceGeologyChemistryNanotechnology

Abstract

fetched live from OpenAlex

Datasets for In Situ Exfoliation Method of Large-Area 2D Materials publication. Extreme UV photoemission band mapping of 2D materials WS2, WSe2 and WTe2 exfoliated in ultra-high vacuum on Au(111), Ag(111) and Ge(001), and AgTe alloy on Ag(111). Measurements were conducted at the BALTAZAR facility in Stockholm, Sweden using a laser-based setup with arepetition rate of 250 kHz, and the fifth harmonic 18.1 eV, and at the SGM-3 beamline of the 3rd-generation ASTRID2 synchrotron radiation source in Aarhus, Denmark with a photon energy 49 eV, 53 eV and 63 eV. All measurements were performed at room temperature.<br> <br> Experimental data are provided in ibw format (Igor Pro).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.009
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.011

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 head0.045
GPT teacher head0.287
Teacher spread0.242 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicIndustrial Vision Systems and Defect DetectionFrench-language works237,207