MétaCan
Menu
Back to cohort
Record W2072161399 · doi:10.1002/ts.83

Effect of seed size on yield of two groundnut genotypes

2003· article· en· W2072161399 on OpenAlex
KP Sibuga, JV Nsenga

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTropical Science · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPeanut Plant Research Studies
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsShootCultivarBiologyDry matterAgronomyBiomass (ecology)Yield (engineering)SeedingHorticulture

Abstract

fetched live from OpenAlex

Abstract Small, medium and large seed sizes of the groundnut genotypes Spancross (a released variety) and 2/91 (a breeding line) were assessed for growth and yield under field conditions in 1996 and 1997. In 1997, there were significant effects of cultivar and seed size on shoot and root biomass. The shoot dry matter for large seeds was 36% and 24% greater than for small seeds of Spancross and 2/91 respectively. Large seeds of 2/91 showed a significant increase of 26% in root biomass but Spancross recorded a decline of 8% over small seeds. Generally, productivity increased with seed size. In 1996, rainfall was low and varietal differences were significant, with 2/91 giving significantly higher kernel yields (2082 kg/ha) than Spancross (1498 kg/ha) when averaged across seed size. Copyright © 2003 Whurr Publishers Ltd

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.

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)0.002
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 score0.573
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.279
Teacher spread0.258 · 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