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Record W4416879710 · doi:10.37665/wecpmku66744

Moisture Sensitive Device Handling and Storage

2022· article· W4416879710 on OpenAlexaboutno aff
Steven R. Martell, Mumtaz Y. Bora

Bibliographic record

VenueOn-Demand Webinars · 2022
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsStandardizationReliability (semiconductor)Process (computing)Automotive industryPresentation (obstetrics)Variety (cybernetics)

Abstract

fetched live from OpenAlex

ABSTRACT On-demand webinar originally hosted jointly by the following SMTA Chapters: San Diego, LA-OC & Silicon Valley Chapters Overview: Moisture sensitive devices are used in wide variety of electronic products. The proper handling, packaging, and storage of these components and substrates is essential to maintain the integrity of the parts and reliability of the assemblies they are used in. Handling of moisture sensitive packages is an ongoing learning process in volume manufacturing. Improperly handled and stored MSDs can impact yields and reliability. The presentation will review the applicable standards and guidelines for handling these packages and the present status of standardization. Steve Martell will present the updates of industry standards for MSDs (J-STD-020, J-STD 033 and J-STD 075) and Mumtaz Bora will review updates for IPC-1602 stan dard for PCB handling, packaging and storage. Speaker Bios: Mumtaz Y. Bora is a Sr. Staff Packaging Engineer at pSemi for qualification of RFIC packages for mobile wireless, broadband and Automotive applications. She is a member of IPC standardization committees and contributes to the standards development. She is the VP of Communication for SMTA San Diego chapter and Co-chair of the SMTA Moisture Sensitive Devices Council. Mumtaz Y. Bora has a B.S. in Chemistry and Material Sciences from University of Mumbai, India and University of Ottawa, Canada. She has a Master of Science in Interactive Telecommunications from University of Redlands, California. Steve Martell is the manager of technical support services at Nordson T&I - Sonoscan, allowing him to work with companies and standards organizations on an international basis. He has a Mechanical/Ocean Engineering degree from URI and MBA from Chicago Booth. He Chairs IPC's B-10a Task Group since 1996. He received the IPC's President's Award in 2015, and other awards for his leadership of the joint IPC/JEDEC working group that developed J-STD-020, J-STD-033, J-STD-075, etc. He is also working with other international standards organizations, such as JEITA and IEC Files Available to Download: Recorded Presentation (On-Demand) Presentation Slides Part 1 (PDF) Presentation Slides Part 2 (PDF) On Demand Webinar

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

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