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Record W588222366

《TheoreticalandAppliedGenefics)杂志:汇集杰出遗传育种家智慧的宝库《Theoretical and AppliedGenetics》Journal:Uniting Great Intemgences of Outstanding Genetics and Breeding Scientists

2006· article· en· W588222366 on OpenAlexvenueno aff
王晓玲

Bibliographic record

Venue分子植物育种 · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering ethicsBiologyEvolutionary biologyGeneticsEngineering
DOInot available

Abstract

fetched live from OpenAlex

《Theoretical and Applied Genetics》(TAG)是植物遗传育种领域国际知名的SCI期刊,2004年影响因子2.981。主要刊登理论遗传学、应用遗传学、植物基因组学、植物染色体组学和植物生物技术等方面的原始论文。TAG汇集了全世界植物遗传育种家最重要和最有影响力的研究成果,成为“分子农业时代”先进遗传学的见证与领头刊。该杂志已被SCI、水产科学与渔业文摘、化学文摘、生命科学及PubMed等诸多数据库收录,成为国际植物遗传育种学家研究成果共享与交流的重要学术平台之一。

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.014
Scholarly communication0.0070.008
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.002

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2006
Admission routes1
Has abstractyes

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