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Record W4213061316 · doi:10.1093/pcp/pcy075

Erratum

2018· erratum· en· W4213061316 on OpenAlexfundno aff

Bibliographic record

VenuePlant and Cell Physiology · 2018
Typeerratum
Languageen
Field
Topic
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaRIKENJapan Society for the Promotion of ScienceBiotechnology and Biological Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthMinisterio de Ciencia e InnovaciónMinistry of Agriculture, Forestry and FisheriesIndian Institute of Science Education and Research ThiruvananthapuramScience and Technology Commission of Shanghai MunicipalityChinese Academy of SciencesSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education, Culture, Sports, Science and TechnologyUniversity Grants CommissionGatsby Charitable FoundationMinistry of Education - SingaporeJapan Science and Technology AgencyHoward Hughes Medical InstituteMitsubishi FoundationNational Natural Science Foundation of ChinaDepartment of Biotechnology, Ministry of Science and Technology, IndiaJunta de AndalucíaRoyal SocietyYoshida Scholarship FoundationSumitomo FoundationNaito FoundationNatural Environment Research CouncilAlexander von Humboldt-StiftungIsrael Science FoundationYamada Science Foundation
KeywordsComputer science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.027
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.213
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.002
Science and technology studies0.0040.001
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.2130.148

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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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
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

Citations3
Published2018
Admission routes1
Has abstractno

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