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Record W2791262107 · doi:10.1021/acs.inorgchem.7b02948

Lithium and Sodium Ion Distributions in A<sub>2–<i>x</i></sub>[W<sub>6</sub>I<sub>14</sub>] Structures

2018· article· en· W2791262107 on OpenAlexafffund
Thorsten Hummel, Agnieszka Moś‐Hummel, Anna V. Merkulova, Markus Ströbele, Arun Krishnamurthy, Scott Kroeker, Hans‐Jürgen Meyer

Bibliographic record

VenueInorganic Chemistry · 2018
Typearticle
Languageen
FieldChemistry
TopicInorganic Chemistry and Materials
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaDeutsche Forschungsgemeinschaft
KeywordsChemistryAlkali metalLithium (medication)TungstenIonCrystal structureSodiumCrystallographyX-ray crystallographyInorganic chemistryMetalSolid-stateDiffractionPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Ag 2 [W 6 I 14 ] and A 2– x [W 6 I 14 ] compounds with A = Na, Li were prepared from binary tungsten iodides (W 3 I 12 ) and corresponding metal iodides. Their crystal structures are analyzed on the basis of X-ray diffraction data. 7 Li and 23 Na solid-state NMR measurements reveal that Li + and Na + ions are distributed over two sites in the respective structures. These results shed some new light on A x [M 6 I 14 ] with A = alkali and M = Mo, W compounds being reported with x = 1 and 2, which exhibit photophysical properties. The lithium compound is an exception in the series of A 2– x [W 6 I 14 ] compounds, because it is the only compound which is soluble in water.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.006
GPT teacher head0.209
Teacher spread0.202 · 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 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

Citations10
Published2018
Admission routes2
Has abstractyes

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