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Record W16652713 · doi:10.1104/pp.6.2.333

Perancangan komunikasi visual kemasan produk permen perusahaan kembang gula canada Surabaya

2008· dissertation· id· W16652713 on OpenAlexaboutno aff
Edward Farah Kurniawan

Bibliographic record

VenuePLANT PHYSIOLOGY · 2008
Typedissertation
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesAdvertisingBusiness

Abstract

fetched live from OpenAlex

Perancangan kemasan produk permen PKG Canada ini bertujuan untuk membantu pengusaha kecil lokal yang mana mengalami keterbatasan dalam dana dan kurangnya kesadaran untuk membuat kreasi baru yang berbeda dari yang telah ada di pasaran. Hal ini diharapkan dapat membantu produk dalam membuat kemasan yang efektif dengan pasar middle low serta memenuhi kriteria untuk didistribusikan di supermarket. Selain itu perancangan ini diharapkan membatu perusahaan untuk dapat meningkatkan penjualan disertai dengan meningkatnya keuntungan perusahaan. Pembuatan kemasan produk PKG Canada didesain sedemikian rupa tidak hanya mempertimbangkan kesempurnaan kemasan berdasarkan teori namun juga mempertimbangkan bagaimana minat dan keadaan konsumen di pasar. Dalam ha1 ini diharapkan perancangan kreatif kemasan produk ini dapat membantu mewujudkan tujuan di atas.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.516
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.006

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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