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Record W4416880818 · doi:10.37665/smiuufr82044

Fluorinated Soldering Technology

2000· article· W4416880818 on OpenAlexaff
Stephen M. Bobbio, Robert F. Lipscomb, Bev Christian, Michael A. Pennington

Bibliographic record

VenueSMTA International · 2000
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsSolderingWave solderingWettingPrinted circuit boardDip solderingSolder pasteFlux (metallurgy)

Abstract

fetched live from OpenAlex

ABSTRACT A gas treatment process has been developed to replace the use of all flux used for soldering printed circuit board assemblies. The main reason for using flux is to dissolve the high melting point oxide that covers the solder surface. This layer prohibits solder flow and wetting of the component leads or circuit board contacts. Chemically, the flux process is a reduction step. The FST (Fluorinated Soldering Technology) approach is a radical departure. It is a pure gas pretreatment that quickly permeates the smallest crevices and converts a part of the oxide to an oxyfluoride - this is actually an oxidation and not a reduction. The conversion film is stable for some months in dry air or nitrogen, allowing for later solder joining, if desired, without flux, using existing equipment, wave solder or oven reflow. There is no residue left from this process. Because the chemistry is very specific only a very small amount of gas is needed to perform the process.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.006

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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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 designNot applicable
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
Published2000
Admission routes1
Has abstractyes

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