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Record W2909725151 · doi:10.2172/1490823

APS Science 2018 Vol. 1

2018· report· en· W2909725151 on OpenAlexfundno aff
Richard B. Fenner

Bibliographic record

Venuenot available
Typereport
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
FundersArgonne National LaboratoryArmy Research OfficeDivision of Materials ResearchNational Institute of Neurological Disorders and StrokeNational Cancer InstituteInstitute of Applied Ecology, Chinese Academy of SciencesBasic Energy SciencesCanadian Institutes of Health ResearchInternational Institute for Nanotechnology, Northwestern UniversityUniversity of California, San FranciscoNational Center for Research ResourcesNational Institute of General Medical SciencesOffice of Research Infrastructure Programs, National Institutes of HealthWestern Economic Diversification CanadaU.S. Department of EnergyOak Ridge Institute for Science and EducationNational Institute of Mental HealthNational Nuclear Security AdministrationOffice of ScienceFundamental Research Funds for the Central UniversitiesNational Institutes of HealthChina University of GeosciencesBiological and Environmental ResearchNational Natural Science Foundation of ChinaOak Ridge Associated UniversitiesUniversity of TorontoDefense Threat Reduction AgencyNational Science FoundationChina Postdoctoral Science FoundationChinese Academy of SciencesDeutsche ForschungsgemeinschaftIowa State UniversityCanadian Light SourceJapan Science and Technology AgencyJapan Society for the Promotion of ScienceWashington State UniversityUniversity of ChicagoNatural Sciences and Engineering Research Council of CanadaCore Research for Evolutional Science and TechnologyXiamen UniversityNorthwestern UniversityMemorial Sloan-Kettering Cancer CenterAcademia SinicaDow Chemical CompanyEuropean CommissionNational Institute of Standards and TechnologyNational Institute of Diabetes and Digestive and Kidney DiseasesCalifornia Institute of TechnologyGordon and Betty Moore FoundationDuPontGillings School of Public HealthUniversität Duisburg-EssenAdvanced Research Projects AgencyDivision of ChemistryW. M. Keck FoundationAmerican Heart Association
KeywordsAcreDowntownCenter (category theory)InjectorNational laboratoryEngineeringRange (aeronautics)Transport engineeringEnvironmental scienceLibrary scienceEngineering physicsGeographyArchaeologyComputer scienceAerospace engineeringMechanical engineeringAgricultural science

Abstract

fetched live from OpenAlex

Research and engineering highlights are reported from the advanced photon source at Argonne National Laboratory.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.396
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3960.481

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 head0.038
GPT teacher head0.343
Teacher spread0.305 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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