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Record W2359169766

Global Status and Progress of Commercialized Transgenic Crops

2011· article· en· W2359169766 on OpenAlexaboutno aff
Xianda Yi

Bibliographic record

VenueHubei nongye kexue · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsHectareCropGenetically modified cropsRapeseedSowingPopulationAgronomyBiologyGenetically modified maizeAgroforestryTransgeneGeographyAgricultureEcologyDemography
DOInot available

Abstract

fetched live from OpenAlex

Global status and progress of commercialized transgenic crops were reviewed.The acreage of transgenic crops increased rapidly since 1996 and reached 148 million hectares in 2010,which was equivalent to 10% of the total acreage of all crops in the world,and the 87-fold of 1.7 million hectares in 1996.Ten million hectares increased every year.The acreage of transgenic crops reached 1 097 million hectares from 1996 to 2010,and reached 521 million hectares in recent 4 years that was the proximal amount of acreage from 1996 to 2006.Number of countries planting transgenic crops soared to a record 29 in 2010.In addition,30 countries imported transgenic crop for food,feed and environmental release whose population was 75% of the total population of world.Transgenic crops were mainly planted in USA(45.1%),Brazil(17.2%),Argentina(15.5%),India(6.4%)and Canada(5.9%).24 kinds of plants were approved for planting and soybean(49.5%),maize(31.6%),cotton(14.2%) and rapeseed(4.7%) were mostly important transgenic crops and with high adoption rates of 81%,64%,29% and 23% respestively.Transgenic traits were mainly herbicide tolerance(61%),stacked traits(22%) and insect resistance(17%).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.265
Teacher spread0.205 · 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 designObservational
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

Citations1
Published2011
Admission routes1
Has abstractyes

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