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Record W4255755726 · doi:10.1021/cen-09706-buscon19

Business Roundup

2019· article· en· W4255755726 on OpenAlexaboutno aff

Bibliographic record

VenueC&EN Global Enterprise · 2019
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Air Liquide has paid $21 million for a 19% stake in Hydrogenics, a Canadian maker of fuel cells and equipment for generating hydrogen. The two plan to jointly develop proton exchange membrane electrolysis technology for hydrogen energy markets. Mitsui & Co. and Ishihara Sangyo Kaisha have jointly purchased a 25% stake in Ouro Fino Quimica, a Brazilian agrochemical company. Mitsui says the company, founded in 2010, has developed “top-notch” formulas for the Brazilian market. EverZinc, the former Umicore zinc chemical business, has acquired GH Chemicals, a Canadian maker of zinc oxide with 58 employees. The acquisition is EverZinc’s second since OpenGate Capital acquired it in 2016. Kyocera has acquired H.C. Starck Ceramics, a German ceramics maker, for an undisclosed sum. Kyocera says the purchase will expand its fine ceramics business into Europe from Japan and the US. Adaptive3D has completed a financing round led by the venture capital arms of

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.899
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.006

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 head0.004
GPT teacher head0.216
Teacher spread0.212 · 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
Published2019
Admission routes1
Has abstractyes

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