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Record W3128151465 · doi:10.1021/cen-09905-buscon11

Jungbunzlauer looks at lactic acid

2021· article· en· W3128151465 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC&EN Global Enterprise · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiopolymer Synthesis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsLactic acidPolylactic acidCitric acidFermentationBusinessLactic acid fermentationChemistryFood scienceBiologyBacteriaOrganic chemistry

Abstract

fetched live from OpenAlex

Jungbunzlauer may be the next to invest in lactic acid and derivatives in North America. The Swiss firm already makes citric acid by fermentation of corn in Port Colborne, Ontario, and says that infrastructure would give a proposed lactic acid project a head start. Lactic acid is used in food, as a disinfectant, and as a precursor to polylactic acid (PLA) plastic. PLA maker NatureWorks expects to complete an expansion of its lactide plant in Blair, Nebraska, by the end of 2021, and Corbion revealed plans last month to increase its capacity for lactic acid, also in Blair, by 40%.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.524

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)0.0000.000

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 head0.005
GPT teacher head0.243
Teacher spread0.239 · 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