MétaCan
Menu
Back to cohort
Record W3008535188 · doi:10.1039/c9ra08738a

Rationalization of the X-ray photoelectron spectroscopy of aluminium phosphates synthesized from different precursors

2020· article· en· W3008535188 on OpenAlexaff
Victoria Bemmer, Michael Bowker, James Carter, Philip R. Davies, Lee E. Edwards, Kenneth D. M. Harris, Colan E. Hughes, Fiona Robinson, David Morgan, Matthew Gareth Thomas

Bibliographic record

VenueRSC Advances · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicChemical Synthesis and Characterization
Canadian institutionsKensington Health
FundersEuropean Regional Development FundBiotechnology and Biological Sciences Research CouncilEngineering and Physical Sciences Research CouncilCardiff UniversityUniversity of Warwick
KeywordsX-ray photoelectron spectroscopyAluminiumPhosphoric acidInfrared spectroscopyChemistryFourier transform infrared spectroscopyAnnealing (glass)SpectroscopyAluminium phosphateAnalytical Chemistry (journal)Nuclear chemistryMaterials scienceNuclear magnetic resonanceChemical engineeringOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

P NMR, and on this basis the oxygen states observed in the XP spectra at 532.3 eV and 533.7 eV are assigned to P-O-Al and P-O-P environments, respectively. The presence of cyclic polyphosphates at the surface of the samples is also evident.

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 score0.001
Threshold uncertainty score0.003

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 head0.007
GPT teacher head0.204
Teacher spread0.198 · 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

Citations27
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRSC AdvancesSame topicChemical Synthesis and CharacterizationFrench-language works237,207