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Record W3021274670 · doi:10.11575/prism/37102

Proton Conduction of Cationic Flexible Lanthanum Phosphonate MOFs

2019· dissertation· en· W3021274670 on OpenAlexfundno aff
Daniel A. Levenson

Bibliographic record

VenuePRISM (University of Calgary) · 2019
Typedissertation
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhosphonateLanthanumCationic polymerizationProtonThermal conductionMaterials scienceChemistryInorganic chemistryPolymer chemistryOrganic chemistryPhysicsNuclear physicsComposite material

Abstract

fetched live from OpenAlex

Five different lanthanum phosphonate MOFs were developed by changing the anion within the cationically charged structure. An in depth look at the grain boundary was undertaken by sieving various particle sizes of PCMOF21-AcO and comparing particle sizes with different amounts of surface area and measuring resistance to determine the contribution of the grain boundary to the overall resistance of the material. PCMOF21-Br and PCMOF21-Cl were compared for the effects that the anion had on the composition of the framework and if the anions had any effect on the overall conduction of the material. Two different phases of this material were developed showing a clear trend that the bromide containing frameworks conduct more efficiently than the chloride containing frameworks. The limitations of current analytical tools in the field of MOFs was also studied at length.

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 score0.004

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)0.0010.000

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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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