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Record W1512829364 · doi:10.1002/0471227617.eoc185

Selective Oxidation – Biological

2002· other· en· W1512829364 on OpenAlexaff
H. Brian Dunford

Bibliographic record

VenueEncyclopedia of Catalysis · 2002
Typeother
Languageen
FieldChemistry
TopicMetal-Catalyzed Oxygenation Mechanisms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChemistryCatalysisCatalasePeroxidaseEnzymeSuperoxide dismutaseCytochrome c oxidaseCytochromeNitrogenaseCopperBiochemistryInorganic chemistryOrganic chemistryNitrogen fixationNitrogen

Abstract

fetched live from OpenAlex

Abstract The oxiding properties of metalloenzymes are reviewed. The reactive oxygen‐containing species formed by successive one‐electron reductions of dioxygen to water are discussed. Emphasis is on iron‐containing enzymes and in particular heme enzymes. Details of peroxidase, catalase, cytochrome P450, nitric oxide synthase, guanylate cyclase, and cytochrome c oxidase reactions are summarized. A brief sojourn looks at the role of sulfur, which converts iron‐containing enzymes from oxidation catalysts to reduction catalysts. An example is nitrogenase where iron–sulfur clusters contribute to the molybdenum‐catalyzed reduction of dinitrogen to ammonia. Copper enzymes and in particular copper‐zinc superoxide dismutase are also examined.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.014

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 head0.014
GPT teacher head0.233
Teacher spread0.218 · 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 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

Citations0
Published2002
Admission routes1
Has abstractyes

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