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Record W2508575526 · doi:10.1002/chem.201405351

FY17-PDH-EVTest04 GodInput Impact of the Oxygen Defects<sub>1</sub>FY17-PDH-EVTest04 Reduction Rates of Stearic Acid<sub>FY17-PDH-T04</sub>

2015· article· en· W2508575526 on OpenAlexfundno aff
Sebastian Foraita, John L. Fulton, Zizwe Chase, Aleksei Vjunov, Pinghong Xu, Eszter Baráth, Donald M. Camaioni, Chen Zhao, Johannes A. Lercher

Bibliographic record

VenueChemistry - A European Journal · 2015
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsnot available
FundersBiological and Environmental ResearchOffice of ScienceAdvanced Photon SciencesBattelleBayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und KunstBasic Energy SciencesCanadian Light SourceUniversity of WashingtonBayerisches Staatsministerium für Wirtschaft und Medien, Energie und TechnologieBayerisches Staatsministerium für Wirtschaft, Infrastruktur, Verkehr und TechnologieUniversity of California, DavisInternational Development Research CentreU.S. Department of Energy
KeywordsCatalysisStearic acidChemistryOxygenHydrodeoxygenationDecarbonylationReactivity (psychology)HydrogenInorganic chemistryAdsorptionPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

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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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.229
Teacher spread0.207 · 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 teacher head, not a consensus.

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
Published2015
Admission routes1
Has abstractyes

Explore more

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