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Record W4248213199 · doi:10.1016/s0306-3747(02)09010-3

Ferro achieves sales record in second quarter, sells coatings unit

2002· article· en· W4248213199 on OpenAlexaboutno aff

Bibliographic record

VenueAdditives for Polymers · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)RevenueEarningsRestructuringBusinessStock (firearms)SemiconductorSemiconductor industryTotal revenueAgricultural economicsTelecommunicationsCommerceFinanceEngineeringEconomicsElectrical engineeringGeographyManufacturing engineering

Abstract

fetched live from OpenAlex

TI’s total revenue of $2533m increased 8% sequentially, and 13% from a year ago due to semiconductors growth of 10% sequentially. Compared with the year-ago quarter, semiconductor revenue increased 16%. TI’s gross profit is up 18% sequentially, 23% from a year ago. Semiconductor orders are up 21% sequentially, and 29% from a year ago. Earnings were 25c/share in the quarter, including a contribution from the sale of Micron Technology Inc common stock and the impact of charges for restructuring and acquisition of Radia Communications Inc.Visit www.three-fives.com for the latest advanced semiconductor industry news

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.051
GPT teacher head0.243
Teacher spread0.192 · 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 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
Published2002
Admission routes1
Has abstractyes

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