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Record W4393955096 · doi:10.1039/d4cp00188e

Towards molecular alloys: computational and experimental studies on (<i>p</i>-NCC<sub>6</sub>F<sub>4</sub>CNSeSeN)<sub><i>x</i></sub>(<i>p</i>-NCC<sub>6</sub>F<sub>4</sub>CNSSN)<sub>1−<i>x</i></sub>

2024· article· en· W4393955096 on OpenAlexafffund
Asli M. Wehelie, Lara K. Watanabe, Bin Zhang, Sahar Nikoo, Jeremy M. Rawson

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2024
Typearticle
Languageen
FieldChemistry
TopicInorganic Chemistry and Materials
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceComputational biologyBiology

Abstract

fetched live from OpenAlex

Computationally, doping of the Se/N radical p -NCC 6 F 4 CNSeSeN (2) into the organic magnet, p -NCC 6 F 4 CNSSN (1β) should enhance the magnetic ordering temperature but, experimentally, doping of 1 with 2 from solution affords the alternative polymorph, 1α.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0000.001

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 head0.258
Teacher spread0.245 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

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