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Record W1763809275 · doi:10.1039/c5ta04241k

A triazine–resorcinol based porous polymer with polar pores and exceptional surface hydrophobicity showing CO<sub>2</sub> uptake under humid conditions

2015· article· en· W1763809275 on OpenAlex
Shyamapada Nandi, Ulrike Werner‐Zwanziger, Ramanathan Vaidhyanathan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Materials Chemistry A · 2015
Typearticle
Languageen
FieldMaterials Science
TopicCovalent Organic Framework Applications
Canadian institutionsDalhousie University
FundersIndian Institute of Science Education and Research MohaliScience and Engineering Research BoardIndian Institute of Science Education and Research PuneMinistry of Education, IndiaDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsResorcinolPorosityPolymerPolarMaterials scienceTriazinePorous mediumChemical engineeringPolymer chemistryChemistryOrganic chemistryComposite materialPhysics

Abstract

fetched live from OpenAlex

Phenol functionalized pores in an ultra-microporous triazine–resorcinol polymer provides exceptional surface hydrophobicity and polarizing character favoring adsorption of CO <sub>2</sub> under humidity.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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