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Record W784779112

美洲黑杨杂种优良无性系转抗虫基因(Bt和CpTI)的研究

2006· article· zh· W784779112 on OpenAlexvenueno aff
诸葛强, 房丹, Ли Фэн., 孙伟博, 黄敏仁, 王明庥

Bibliographic record

Venue分子植物育种 · 2006
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsChemistry
DOInot available

Abstract

fetched live from OpenAlex

以美洲黑杨杂种优良无性系南林895杨(Populus×euramericana cv.‘Nanlin895’)为转基因受体材料,以嫩芽或腋芽为外植体材料组织培养再生植株,利用农杆菌介导法转化成Bt基因和CpTI基因。结果显示较合适的组培再生与遗传转化系统为:叶分化培养基为MS+6-BA 0.5mg/L+TDZ 0.002mg/L,芽伸长培养基为MS+6-BA 0.2mg/L+TDZ 0.001mg/L+Km 10mg/L+Carb 500mg/L,生根培养基为1/2MS;预培养3d,菌液浓度OD600 1.0-1.3左右,侵染时间20min,共培养4d,叶盘转化频率可达28.7%。对Km^r植株经PCR分析,筛选获得了18株整合有成Bt基因和1株整合有CpTI基因的转基因植株。部分转基因植株的初步饲虫实验表明,饲喂转基因杨树叶片可明显抑制杨小舟蛾的生长发育。

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.005

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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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 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
Published2006
Admission routes1
Has abstractyes

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