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Record W4306950965 · doi:10.3390/agronomy12102582

Comprehensive Assessment of Houttuynia cordata Thunb., an Important Medicinal Plant and Vegetable

2022· article· en· W4306950965 on OpenAlexaff
Qing Luo, Ping-Hong Meng, Dawei Jiang, Zhongming Han, Zhenhui Wang, Guo‐Fei Tan, Jian Zhang

Bibliographic record

VenueAgronomy · 2022
Typearticle
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsBiologyHouttuynia cordataMolecular breedingBiotechnologyMedicinal plantsGenomicsGenomeBotanyTraditional medicineGeneGeneticsChemistryMedicine

Abstract

fetched live from OpenAlex

Houttuynia cordata Thunb., called Yuxingcao in Chinese, is an important medicinal plant and vegetable consumed in the southern regions of China. This review aims to summarize studies on the phyto-physiological chemistry, cytology, molecular biology, and genomics of H. cordata. Studies on the physiology and biochemistry of H. cordata have grown over the past few decades. Phenotypic and agronomic traits, tissue culture, elemental analysis, photosynthetic studies, bioactive compound identification, and antioxidant research have been reported. Molecular biological studies, such as those of molecular markers, microRNAs, DNA variations, protein variations, and transcriptomes have also advanced. Recent studies have focused on the rDNA and chloroplast genome of this plant. This review could serve as a basis to perform the genetic breeding, genomic advance, and cultivation of this valuable diversified plant resource for medicinal applications and vegetable production.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.030
GPT teacher head0.303
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2022
Admission routes1
Has abstractyes

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