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Record W2748614279 · doi:10.1088/2040-8986/aa783b

Roadmap for optofluidics

2017· article· en· W2748614279 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Optics · 2017
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Toronto
FundersDivision of Emerging FrontiersDivision of Emerging Frontiers in Research and InnovationLife Sciences Division, Army Research OfficeArmy Research OfficeNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthAir Force Office of Scientific ResearchVetenskapsrådetNational Key Research and Development Program of ChinaMary Kay FoundationNational Research FoundationMinistero dell’Istruzione, dell’Università e della RicercaKing Abdullah University of Science and TechnologyDivision of Chemical, Bioengineering, Environmental, and Transport SystemsNederlandse Organisatie voor Wetenschappelijk OnderzoekOffice of Naval ResearchChinese Academy of SciencesBeijing Nova ProgramUniversità degli Studi di PadovaNational Natural Science Foundation of ChinaNational Research Foundation SingaporeHoward Hughes Medical InstituteNational Science Foundation
KeywordsOptofluidicsOpticsComputer sciencePhysicsMaterials scienceNanotechnologyMicrofluidics

Abstract

fetched live from OpenAlex

Roadmap for optofluidics, Minzioni, Paolo, Osellame, Roberto, Sada, Cinzia, Zhao, S, Omenetto, F G, Gylfason, Kristinn B, Haraldsson, Tommy, Zhang, Yibo, Ozcan, Aydogan, Wax, Adam, Mugele, Frieder, Schmidt, Holger, Testa, Genni, Bernini, Romeo, Guck, Jochen, Liberale, Carlo, Berg-Sørensen, Kirstine, Chen, Jian, Pollnau, Markus, Xiong, Sha, Liu, Ai-Qun, Shiue, Chia-Chann, Fan, Shih-Kang, Erickson, David, Sinton, David

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.197

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)0.0000.000

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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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