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Record W2773148398 · doi:10.1002/cphc.201701261

Cover Feature: Formation, Structure, and Composition of Methylaluminoxane (ChemPhysChem 23/2017)

2017· article· en· W2773148398 on OpenAlexaff
Mikko Linnolahti, Scott Collins

Bibliographic record

VenueChemPhysChem · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMethylaluminoxaneCover (algebra)Composition (language)ChemistryCatalysisFeature (linguistics)Function (biology)Polymer chemistryChemical engineeringOrganic chemistryPhilosophyMetalloceneBiologyPolymerEngineering

Abstract

fetched live from OpenAlex

The Cover Feature illustrates the relative abundancies and structural transitions of methylaluminoxane (MAO) oligomers as a function of molecular weight. Cage-like structures dominate the MAO mixture, the peak composition having a tubular structure and a molecular weight of 1360 g mol−1. The MAOs play an important role in catalytic preparation of polyolefins. More information can be found in the Full Paper by M. Linnolahti and S. Collins on page 3369 in Issue 23, 2017 (DOI: 10.1002/cphc.201700827).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.415
Threshold uncertainty score0.834

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4150.093

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 head0.251
Teacher spread0.237 · 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.

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
Published2017
Admission routes1
Has abstractyes

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