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Record W1512829364 · doi:10.1002/0471227617.eoc185

Selective Oxidation – Biological

2002· other· en· W1512829364 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0650.001

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 head0.014
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