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Record W4295957473 · doi:10.54932/aktj9050

Towards the new bioeconomy: Bio-manufacturing as a strategic economic development initiative for Quebec

2022· report· en· W4295957473 on OpenAlexaboutno aff
Bryan Campbell, Michel Magnan

Bibliographic record

Venuenot available
Typereport
Languageen
FieldAgricultural and Biological Sciences
TopicBioeconomy and Sustainability Development
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Field (mathematics)Domain (mathematical analysis)Synthetic biologyBusinessEngineeringPolitical scienceBiology

Abstract

fetched live from OpenAlex

Globally, the bioeconomy can be defined as the domain of the economy based on products, services and processes derived from biological resources. In this regard, synthetic biology refers to the characteristics of a field derived from biology that has developed over the past thirty years thanks to advances in applied genetics and bioengineering. Some predict that the future economy will primarily be a bioeconomy based on these emerging techniques, which are consistent with the decarbonization of our economy. We first describe the international reality of the "Bio Revolution" and then aim to assess Quebec's position. Next, we present some government policies following a top-down approach from different jurisdictions. A case study of a Montreal-based company allows us to highlight the problems it faced in attracting the financial capital needed for its growth. Another critical issue in the field is the scalability of production processes. We explore this issue further in agritech, a high potential sector but whose realization faces several socio-economic challenges. This analysis serves as a backdrop to our recommendations to develop a roadmap for government support for synthetic biology.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.929
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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 head0.084
GPT teacher head0.274
Teacher spread0.190 · 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
Published2022
Admission routes1
Has abstractyes

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