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Record W2016421483 · doi:10.1007/bf03214975

Panning for gold in a hot flowing stream

2010· article· en· W2016421483 on OpenAlexafffund
Gjergji Shore, Michael G. Organ

Bibliographic record

VenueGold bulletin · 2010
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Centres of Excellence
KeywordsHydrosilylationScanning electron microscopeMaterials scienceBorosilicate glassAlkyneDeposition (geology)NanotechnologyChemical engineeringChemistryCatalysisOrganic chemistryMetallurgyComposite material

Abstract

fetched live from OpenAlex

Thin-gold films have been laid down on the inner surface of borosilicate capillaries using a variety of deposition techniques and the resultant film composition and morphology has been evaluated using energy-dispersive x-ray (EDX) and scanning electron microscopy (SEM) analysis, respectively. These films have been shown to couple very strongly with microwave irradiation to generate very high temperatures (>850 °C). These films have been demonstrated to be highly reactive catalytically in a number of mechanistically-diverse chemical transformations. Wide selections of structurally-varied compounds have been made by hydrosilylation, benzannulation, and alkyne additions to imines.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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

Citations7
Published2010
Admission routes2
Has abstractyes

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