MétaCan
Menu
Back to cohort
Record W2501772948 · doi:10.1109/iemt.2003.1225870

Unique fiducial designs for CSP singulation process

2004· article· en· W2501772948 on OpenAlexaff
P. Vijchulata

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsFiducial markerComputer scienceChip-scale packageChipIntegrated circuitBall (mathematics)Physical designProcess (computing)Computer hardwareEmbedded systemCircuit designArtificial intelligenceMathematicsProgramming language

Abstract

fetched live from OpenAlex

This paper describes the invention of unique designs of fiducial marks on the ball pad side of substrates for different CSP (Chip Scale Package) integrated circuit package types and sizes. These unique designs on the substrates are related to the saw singulation process in the assembly of this type of packages. The distinct, unique fiducial designs enable the PRS (Pattern Recognition System) of the saw singulation equipment to differentiate between different molded CSP substrates, and stop the operation when the saw program of the equipment doesn't match the expected fiducial design on the substrate. These unique fiducial marks provide an error free solution that prevents loading wrong saw programs or feeding incorrect CSP substrates/packages into the saw singulation equipment. The benefits are that different type and sizes of CSP packages will not be sawn with the wrong dimensions, and that expensive saw singulation equipment parts will not get damaged.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.021
GPT teacher head0.249
Teacher spread0.227 · 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 designBench or experimental
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
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicIntegrated Circuits and Semiconductor Failure AnalysisFrench-language works237,207