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Record W4237003448 · doi:10.1002/jlcr.3507

Oral Presentations

2017· article· en· W4237003448 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Labelled Compounds and Radiopharmaceuticals · 2017
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsnot available
FundersFP7 People: Marie-Curie ActionsNuclear PhysicsNational Institute of Biomedical Imaging and BioengineeringNational Institute of Neurological Disorders and StrokeNational Institute of Allergy and Infectious DiseasesNational Institute of Mental HealthJapan Society for the Promotion of ScienceSchool of Medicine, New York UniversityGeistlich PharmaTRIUMFKing's College Hospital NHS Foundation TrustRoyal Golden Jubilee (RGJ) Ph.D. ProgrammeArgonne National LaboratoryUppsala UniversitetMedical Research CouncilNational Natural Science Foundation of ChinaNational Research Foundation of KoreaKorea Health Industry Development InstituteOffice of ScienceKing's College LondonAcademy of FinlandCurtin University of TechnologyYork UniversitySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungBundesministerium für Bildung und ForschungNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and TechnologyDeutsche ForschungsgemeinschaftThailand Research FundRIKENUniversité de SherbrookeMemorial Sloan-Kettering Cancer CenterWellcome TrustU.S. Department of DefenseCancer Research UKSvenska Sällskapet för Medicinsk ForskningEngineering and Physical Sciences Research CouncilEuropean CommissionIndiana State Department of HealthHelsingin YliopistoFonds de Recherche du Québec - SantéAustralian Institute of Nuclear Science and EngineeringAustralian Nuclear Science and Technology OrganisationUniversity of ChicagoJohns Hopkins UniversityKoninklijke Nederlandse Akademie van WetenschappenVlaamse regeringNational Research FoundationCenter for Advanced Imaging Innovation and ResearchMichael J. Fox Foundation for Parkinson's ResearchNational Institutes of HealthRosetrees TrustU.S. Department of EnergyNational Science Foundation
KeywordsChemistry

Abstract

fetched live from OpenAlex

No abstract is available for this 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 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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.091
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.9090.717

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 head0.195
GPT teacher head0.510
Teacher spread0.315 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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