Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.288 | 0.174 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".