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Comparing electron-sping-tensor results of first-row radicals with those of higher rows

2000· article· en· W2129061181 on OpenAlexaff
Pablo J. Bruna, Friedrich Grein

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsChemistryAtomic orbitalRadicalValence (chemistry)ElectronHamiltonian (control theory)Atomic physicsDensity functional theoryValence electronPauli exclusion principleGround stateComputational chemistryPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

The electron-spin Δg values of radicals from the first and second row with 9–15 valence electrons (VE) were calculated using second-order perturbation theory and a Breit–Pauli Hamiltonian, in conjunction with multireference configuration interaction (MRCI) wave functions. The radicals studied include CO+, SiO+, BO, AlO, BeF, MgF, and CaF, with 9 valence electrons; M+O and M+S (M = Li, Na), with 13 VEs; and F, Cl, and FCl−, with 15 VEs. Our method works well for first- and second-row systems. Comparing with experimental results for 9 and 15 VE radicals trapped in rare-gas matrices, Δg⊥ components (usually large) are described within 10%, whereas most calculated Δg‖ values (usually small) are much smaller than the experimental ones. The Δg⊥ values of the mixed first–second row systems SiO+ and AlO, due to a mutual cancellation of the contributions from the lowest two 2Π states, are relatively small (≈ −2500 ppm). Also, reliable g shifts for SiO+ and AlO can only be calculated using natural orbitals, as the molecular orbital treatment gives incorrect ground-state spin-density distributions. Difficulties previously found by a density functional theory/gauge including atomic orbitals (DFT/GIAO) study on the g shifts of AlO are thus most probably caused by the use of inacurrate spin densities rather than the possible failure of the perturbation expansion truncated at second order. For the π radicals MO2 and MS2, Δg‖ is very large due to the coupling of two close-lying states having similar spin-density distributions. © 2000 John Wiley & Sons, Inc. Int J Quant Chem 77: 324–335, 2000

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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.

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

Citations29
Published2000
Admission routes1
Has abstractyes

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