MétaCan
Menu
Back to cohort
Record W4234201495 · doi:10.1002/div.7299

Bemis Co Inc

2008· article· en· W4234201495 on OpenAlexaboutno aff

Bibliographic record

VenueMergent s Dividend Achievers · 2008
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessModified atmosphereFood packagingCommerceAdhesiveFood productsPressure sensitiveMaterials scienceManufacturing engineeringComposite materialMechanical engineeringEngineeringFood scienceShelf life

Abstract

fetched live from OpenAlex

Abstract Paper Products (MIC: SIC: 2671 NAIC: 322221) Bemis Company is a manufacturer of flexible packaging products and pressure sensitive materials, selling to customers mainly in the food industry in the U.S., Canada, South America, Europe, Asia Pacific and Mexico. Through its Flexible Packaging segment, Co. produces a range of food, consumer goods, and industrial packaging. Multilayer flexible polymer film structures and laminates are sold for food, medical and personal care products as well as non‐food applications utilizing vacuum or modified atmosphere packaging. Through its Pressure Sensitive Materials segment, Co. produces pressure sensitive adhesive coated paper and film substrates sold into the label, graphic and technical markets.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.265
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7350.689

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 head0.023
GPT teacher head0.242
Teacher spread0.220 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Explore more

Same venueMergent s Dividend AchieversSame topicPolymer Foaming and CompositesFrench-language works237,207