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Record W1543452685 · doi:10.1002/9781118854754.ch5

The Chemistry of Inorganic Nuclides (<sup>86</sup>Y,<sup>68</sup>Ga,<sup>64</sup>Cu,<sup>89</sup>Zr,<sup>124</sup>I)

2014· other· fr· W1543452685 on OpenAlexaff
Eric W. Price, Chris Orvig

Bibliographic record

Venuenot available
Typeother
Languagefr
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsYttriumNuclideGalliumChemistryZirconiumRadiochemistryIsotopeInorganic chemistryIsotopes of zirconiumNuclear physicsDecay schemePhysics

Abstract

fetched live from OpenAlex

This chapter discusses the chemistry of nuclides of yttrium, gallium, copper, zirconium and iodine. Gallium(III), yttrium(III), and zirconium(IV) ions are resistant to redox reactions under biological conditions, which is important for complex stability; however, they are sensitive to hydrolysis. Yttrium typically forms eight or nine coordinate chelate complexes, with the most common geometries being square antiprismatic and monocapped square antiprismatic. Copper(II) is a first row transition metal with a d9 configuration and a preference for borderline soft ligand donor atoms such as amines, imines, and thiols. 89Zr has a long half-life of the radiometal positron emission tomography (PET) nuclide and is ideally suited to theranostic applications as a matched isotope pair for long-lived therapeutic isotopes such as 90Y and 177Lu. Isotopes of iodine must be covalently attached to molecules in order to be used in radiopharmaceuticals, much like 18 F.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient 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: none
Teacher disagreement score0.227
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0070.006
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0010.004
Science and technology studies0.0030.006
Scholarly communication0.0010.001
Open science0.0080.002
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.1270.015

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 head0.276
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2014
Admission routes1
Has abstractyes

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