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Record W4242136128 · doi:10.1002/biot.200990070

In this issue: Biotechnology Journal 8/2009

2009· article· en· W4242136128 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

VenueBiotechnology Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial crisisBoomBusinessBiotechnologyPoliticsBiofuelProduct (mathematics)EconomicsEngineeringPolitical scienceBiologyLaw

Abstract

fetched live from OpenAlex

Abstract Biofuel production in the financial crisis Rabinovich , Biotechnol. J. 2009, 4, 1117–1123 Biotechnology by its nature goes through the cycles of booms and busts. This is particularly true for the biofuel area which depends on the prices of crude oil and biological source products, like corn, wheat, sugar and vegetable oil. The current financial crisis followed by the burst of the oil bubble has brought deep trouble to most biofuel manufacturers. It lead to cuts in venture funding and is triggering numerous bankruptcies, mergers and acquisitions. However, crude enzyme manufacturers which have developed stable fungal platforms for protein overexpression seem to be a safer alternative for investors. This article by Mikhail Rabinovich from Moscow, Russia, discusses several aspects of how white biotechnology, and especially the biofuel industry, is affected by the current financial situation. The biotechnology industry: What's next? Guertin , Biotechnol. J. 2009, 4, 1124–1131 The current financial crisis is not only affecting banks and car manufacturers worldwide. It also has a profound impact on other key areas of the economy including biotechnology. A new era for biotechnology that will be more and more influenced by financial, political, demographical and ecological issues has begun. Risk and money are most probably the two most important factors which rule biotechnology industries. Especially because developing drugs is certainly among the riskiest businesses as only one product out of 5000 potential candidates reaches the market. In addition to a short overview about the current crisis and challenges of the biotech industry, Pierre Guertin from Quebec, Canada, reviews recent analysts' reports. This article sheds light on what biotechnology has become and how it is heading towards new levels for health, prosperity and sustainability. Downstream processing in India Babu and Vijayalakshmi , Biotechnol. J. 2009, 4, 1132–1139 India holds a small share of 2% in the global biotech market, which is dominated by the healthcare sector. Moreover, India is a key player in bio‐generic pharmaceuticals. Exactly this area has been identified as one the new pathways of sustainability that will lead to paradigm‐shifting trends in biotech industries (Ernst&Young Global biotech report). Generics based on today's blockbusters should mitigate pricing pressures on innovative drugs and lead to better margins. The bottleneck in biotechnology is not anymore the production of recombinant proteins, but the purification of proteins as one of the most challenging tasks of downstream processing. This article highlights the major players of the Indian industrial, academic and governmental sectors in this area. Especially the potential of collaborations with European countries is pointed out.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0160.021
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.263
Teacher spread0.256 · 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