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Record W4248093963 · doi:10.1111/gtc.12295

Issue Information

2016· paratext· en· W4248093963 on OpenAlexfundno aff

Bibliographic record

VenueGenes to Cells · 2016
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
FundersDivision of Molecular and Cellular BiosciencesUniversity of TokyoRIKENUniversity of California, DavisInstitute of GeneticsNational Agriculture and Food Research OrganizationHarvard University
KeywordsPruningBiologyTree (set theory)CitationCover (algebra)Computational biologyComputer scienceInformation retrievalLibrary scienceCombinatoricsBotanyMathematicsEngineering

Abstract

fetched live from OpenAlex

Front cover: Site-specific DNA recombination technologies such as FLP-FRP and Cre-lox systems have been applied to various purposes including mosaic analysis or conditional knockout. We applied the mechanism to pruning a pine tree. When we gave a signal to the pine tree, a branch was circularized and was cut automatically at the specific site marked with the darker green pine needles. Designed by TRAIS Co., Ltd. (Kobe, Japan).

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.149
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8510.768

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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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