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Record W2065269795 · doi:10.1021/cc0600730

Colorimetric Diffusion-Reflection Imaging High-Throughput Analysis of Organic or Inorganic Compounds

2006· article· en· W2065269795 on OpenAlexfundno aff
Jiang Yi, Huang Li, Zheng Jiang, Wen Sheng Li, Xiao Ping Zhou

Bibliographic record

VenueJournal of Combinatorial Chemistry · 2006
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsnot available
FundersMichael G. DeGroote Institute for Infectious Disease Research, McMaster University
KeywordsReflection (computer programming)DiffusionMethylene blueAbsorption (acoustics)Materials scienceSpectrometerThroughputAnalytical Chemistry (journal)OpticsChemistryChromatographyCatalysisComputer scienceOrganic chemistryPhotocatalysisTelecommunications

Abstract

fetched live from OpenAlex

A colorimetric diffusion-reflection imaging (CDRI) high-throughput analytical technology was developed for library analysis. In the investigation, quartz sands were employed as light diffusion-reflection media. Inorganic and organic compounds with characteristic absorption bands in visible light could be quantified by this method. In the current investigation, compounds such as CrCl3, KMnO4, methylene blue, and acrolein were employed as substrates, and the UV spectrometer and traditional GC (with thermal conductivity detector) were employed to check the reliability of our CDRI technology. The current technology is capable of analyzing more then 100 samples simultaneously. Relative errors below 10% were achieved.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.006
GPT teacher head0.234
Teacher spread0.228 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2006
Admission routes1
Has abstractyes

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