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Record W2485564250 · doi:10.1021/bk-2004-0874.ch013

Ultra Low-k Dielectric Films with Ultra Small Pores Using Poragens Chemically Bonded to Siloxane Resin

2004· book-chapter· en· W2485564250 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueACS symposium series · 2004
Typebook-chapter
Languageen
FieldMaterials Science
TopicCopper Interconnects and Reliability
Canadian institutionsnot available
FundersMinistère de l'Économie, de la Science et de l'Innovation - Québec
KeywordsSiloxaneMaterials scienceCuring (chemistry)DielectricComposite materialPorosityCoatingLow-k dielectricPolymer chemistryPolymerOptoelectronics

Abstract

fetched live from OpenAlex

Burning Out Sacrificial Spacers or BOSS technology has been developed to fabricate porous ultra low-k (ULK) dielectrics having ultra small pores. The technology utilizes BOSS resin, which has a curable resin backbone and poragen groups chemically linked to the resin backbone. The chemical bond between the resin and poragen prevents the phase separation during curing, allowing the molecular level control of the pore size and distribution. Porous ultra low-k thin films were fabricated from the resin using conventional spin coating and furnace cure. A proto-type BOSS material, a SiH siloxane resin having isophytol poragen groups, led to films having a dielctric constant of 1.8, breakdown voltage of 4 MV/cm, and an average pore size of 2.2 nm by PALS. The film mechanical strength was identified as the key challenge for this technology, or any porous ULK technology.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.214
Teacher spread0.201 · 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