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Record W2265335520 · doi:10.4271/2000-01-0459

High Pincount Packages Under Automotive Conditions

2000· article· en· W2265335520 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.

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

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2000
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsInfineon Technologies (Canada)
FundersUniversität Paderborn
KeywordsAutomotive industryAutomotive engineeringComputer scienceManufacturing engineeringEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">New generation microcontrollers for automotive applications require a huge number of I/Os, dealing with various sensor and actuator signals derived from the external world.</div> <div class="htmlview paragraph">In case of the first TriCore™ based 32-Bit microcontroller this leads to approximately 270 I/Os for signal processing. Adding the power supply lines and thermal balls, the overall number of required interconnects grows far over 300.</div> <div class="htmlview paragraph">To outperform standard microcontroller packages, e.g. QFPs, the limitations in terms of package size and maximum number of interconnects have to be improved. Main goal is to adapt the component quality to the high level reliability standard, which is the basis of an implementation into automotive parts.</div> <div class="htmlview paragraph">Current tests with a P-BGA standard package show interesting results for the board level reliability, when design and test parameters are changed only slightly.</div>

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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