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Record W1908058876 · doi:10.1080/08927022.2012.738296

Normal modes of Au<sub>25</sub>(SCH<sub>3</sub>)<sub>18</sub><sup>−</sup>, Ag<sub>12</sub>Au<sub>13</sub>(SCH<sub>3</sub>)<sub>18</sub><sup>−</sup>and Ag<sub>25</sub>(SCH<sub>3</sub>)<sub>18</sub><sup>−</sup>clusters

2013· article· en· W1908058876 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMolecular Simulation · 2013
Typearticle
Languageen
FieldMaterials Science
TopicNanocluster Synthesis and Applications
Canadian institutionsnot available
FundersDivision of Materials ResearchUniversity of TorontoNational Science Foundation
KeywordsPhysicsDensity functional theorySpectral lineCluster (spacecraft)Atomic physicsInfrared spectroscopyChemistryCrystallographyQuantum mechanics

Abstract

fetched live from OpenAlex

This report contains a theoretical study on the atomic structure and normal modes of , and clusters based on density functional theory with generalised gradient approximations. It is shown that their calculated infrared (IR) spectra have features, which allow to distinguish them. Therefore, it was found that the Ag–S stretching and CH3 umbrella modes are intense in the IR spectrum of the cluster.

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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.054
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0150.017
Meta-epidemiology (broad)0.0130.008
Bibliometrics0.0090.012
Science and technology studies0.0090.007
Scholarly communication0.0060.013
Open science0.0110.008
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0000.008

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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