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Organic Agriculture: A Productive Means of Low-carbon and High Biodiversity Food Production

2010· book-chapter· en· W25873069 on OpenAlexfundno aff
U. Niggli

Bibliographic record

VenueMini-Reviews in Medicinal Chemistry · 2010
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsAgricultureBusinessProduction (economics)Organic farmingSustainable agricultureNatural resource economicsAgricultural productivityWork (physics)Food processingPopulationBiodiversityEnvironmental planningEnvironmental resource managementAgroforestryEnvironmental scienceGeographyEngineeringEconomicsPolitical scienceEcology

Abstract

fetched live from OpenAlex

Discovery of novel drugs that are able to prevent angiogenesis is a fast growing branch of cancer research. Current approaches to cancer chemotherapy include the use of alkylating agents, antimetabolites, antitumor antibiotics, platinum analogs and drugs derived from natural compounds. However, most of the currently used chemotherapeutic drugs have adverse side effects on normal healthy cells. In addition to the classical targets of cancer chemotherapy, prevention of angiogenesis through the regulation of indigenous angiogenic factors is a leading approach of developing selective novel anticancer drugs. Because of their low toxicity, there is increasing interest in exploring specific dietary phytochemicals as possible antiangiogenic agents. In this mini-review, selected flavonoids (e.g., apigenin, luteolin, quercetin and epigallocatechin-3-gallate, which are a group of plant polyphenols) that are able to regulate angiogenesis in in vitro and in vivo systems are discussed in the light of their potential to be exploited as novel anticancer drugs.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.436
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
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.190
Teacher spread0.182 · 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 designBench or experimental
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

Citations6
Published2010
Admission routes1
Has abstractyes

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