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Record W2088015985 · doi:10.1002/qua.10311

Structural signs and carrier completeness of Liouvillian quasiparticle algebras: Dual group invariants for explicit 𝒮<sub><i>n</i></sub>‐auxiliary tensor labels via projective mappings applicable to [<i>A</i>]<sub><i>n</i>≤20</sub> NMR spin ensembles

2002· article· en· W2088015985 on OpenAlexaff
F.P. Temme

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2002
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsMathematicsGroup (periodic table)Pure mathematicsLattice (music)Completeness (order theory)Dual (grammatical number)Discrete mathematicsPhysicsQuantum mechanicsMathematical analysis

Abstract

fetched live from OpenAlex

Abstract Various structural sign aspects of (Liouvillian) dual carrier spaces are examined under (quasiparticle [QP]) dual group projective mappings and Lie‐based algebras. The completeness of these superboson mappings and the nature of the correlation between the two distinct spatial QP sets of mappings are demonstrated in a direct Lie algebraic approach as being superior to supergenerator‐based right‐derivation methods. The dual tensorial auxiliary labels of superboson dual carrier mappings are presented in terms of dual group invariants based on democratic recoupling. The 𝒮 2 n decompositional modeling is utilized for the cardinality of SU (2) × 𝒮 2 n group invariants (SIs) of (polyhedral) higher‐(2n) [ A ] 2 n : 12 ∼ 2 n ≤ 20 systems and the auxiliary “ v ” sets. Use of (augmented Weyl) time‐reversal invariance over sets of uniform (democratic) (2 n )‐apical geometric lattice points allows one to treat all the intrinsic (2 i ) &lt; (2 n ) subproblems originating from stepwise substitution of ( Î · Î ) pairs by 1 unities. Use of established 𝒮 2 n logic provides a ∑ (χ ) 2 (𝒮 n ) model for the fundamental | SI | terms. PACS : 2.10; 02.20‐a; 33.20 Vq; 33.25 + j. © 2002 Wiley Periodicals, Inc. Int J Quantum Chem, 2002

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 categoriesMeta-epidemiology (narrow)
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 score0.021
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 science0.0010.000
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 head0.026
GPT teacher head0.274
Teacher spread0.248 · 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.

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

Citations4
Published2002
Admission routes1
Has abstractyes

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