MétaCan
Menu
Back to cohort
Record W4322580902 · doi:10.1039/d3ma90017g

Correction: Core–shell defective TiO<sub>2</sub> nanoparticles by femtosecond laser irradiation with enhanced photocatalytic performance

2023· article· en· W4322580902 on OpenAlexafffund
Bersu Baştuğ Azer, Ahmet Gülsaran, Joel R. Pennings, Reza Karimi, Aydin Ashrafi Belgabad, Alexander H. Xu, Liena Zaidan, Samed Kocer, Joseph Sanderson, Michal Bajcsy, Michael A. Pope, Mustafa Yavuz

Bibliographic record

VenueMaterials Advances · 2023
Typearticle
Languageen
FieldEngineering
TopicLaser-Ablation Synthesis of Nanoparticles
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCMC Microsystems
KeywordsPhotocatalysisFemtosecondIrradiationMaterials scienceNanoparticleLaserNanotechnologyCore (optical fiber)Chemical engineeringPhotochemistryOpticsChemistryComposite materialNuclear physicsPhysicsCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Correction for ‘Core–shell defective TiO 2 nanoparticles by femtosecond laser irradiation with enhanced photocatalytic performance’ by Bersu Bastug Azer et al. , Mater. Adv. , 2023, https://doi.org/10.1039/d3ma00019b.

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)0.002
metaresearch head score (Gemma)0.022
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0350.018

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 head0.007
GPT teacher head0.199
Teacher spread0.191 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueMaterials AdvancesSame topicLaser-Ablation Synthesis of NanoparticlesFrench-language works237,207