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Record W3197485029 · doi:10.5376/ijmec.2021.11.0001

Identification of <i>BaLanophora japonica</i> Makino from Guizhou Province by Morphological Methods and rDNA ITS Sequence

2021· article· en· W3197485029 on OpenAlexvenueno aff
Tingting Long, Jianfeng Cao, Chengyou Jiang, Yan Meng

Bibliographic record

VenueInternational Journal of Molecular Ecology and Conservation · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEcology and Conservation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJaponicaBiologyTraditional medicineBotanyMedicine

Abstract

fetched live from OpenAlex

BaLanophora japonica Makino. is reported as a newly recorded species in Guizhou Province, it was found in Zhujiashan National Forest Park of Guizhou in Weng’an Xian in Guizhou Province. its main biological characteristics were dissected and observed, and its rDNA-ITS sequences was amplified and sequenced directionally. The blasting of the sequence with Balanophora japonica  voucher rDNA-ITS showed that there were 100% (671/671) similar between the species and B . japonica Makino. combined with its morphology, the species was finally identified as B .  japonica Makino. which is reported for the first time in Guizhou province. This discovery provides a basis for further research and protection of the biodiversity in the region.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.025
GPT teacher head0.295
Teacher spread0.271 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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