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Record W2731932577 · doi:10.1021/cen-09527-buscon1

Canada hub expands by two

2017· article· en· W2731932577 on OpenAlexaboutno aff
Melody Bomgardner

Bibliographic record

VenueC&EN Global Enterprise · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Perspectives in Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsXylitolBiorefiningBusinessWaste managementCellulosic ethanolBiomass (ecology)Lignocellulosic biomassPulp and paper industryEngineeringChemistryCelluloseFood scienceFermentationBiofuelChemical engineering

Abstract

fetched live from OpenAlex

A hub for biobased chemicals firms in Sarnia, Ontario, will grow by two companies working to scale up their manufacturing processes. California-based start-up Origin Materials will build a demonstration facility at the hub to make p-xylene, a precursor for polyethylene terephthalate (PET), from lignocellulosic biomass. Origin earlier partnered with Nestlé Waters and Danone to develop 100% biobased PET beverage bottles. Meanwhile, S2G BioChem will build a demonstration plant to make 2,000 metric tons per year of xylitol, propylene glycol, and ethylene glycol from sugar. Xylitol is a sugar alcohol that is used as a low-calorie sweetener. Bioindustrial Innovation Canada will provide undisclosed funding for the S2G project. Both firms expect to construct their facilities in 2018. The Sarnia hub is already home to succinic acid maker BioAmber. Comet Biorefining plans to open a cellulosic dextrose plant there in 2018.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.891

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

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