MétaCan
Menu
Back to cohort
Record W2735676511

A Study of Some Seed-Borne Diseases of Cereals in Canada: III. Effect of Rate of Seeding, Percentage of Infested Kernels, and Weeds, on the Yield of Plots Sown with Treated and Untreated Seed1

2016· article· en· W2735676511 on OpenAlexaboutno aff
Jan Macháček, HR Wallace, H. W. Mead, W. C. Broadfoot

Bibliographic record

VenueCanadian journal of agricultural science/Canadian Journal of Agricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationAgronomyBiologySativumYield (engineering)SeedingBrassicaSeed treatmentField experiment
DOInot available

Abstract

fetched live from OpenAlex

Field-plot experiments with wheat seed naturally infested with Helmintho-sporium sativum P K. & B, oat seed infested with H avenae Eidam, and barley seed infested with either H. sativum or H. teres Sacc, showed that in plots kept free from weeds the percentage of infested kernels in the seed affected the percentage germination but had little or no effect on the yield As a consequence, treatment of the seed to improve its germination also had but little or no effect on the yield. Further experiments with practically disease-free wheat seed indicated that these results were due to a compensation for low germination by an increased tillering of the plants that survived, and therefore the yield of plots with thin stands was but little different from the yield of plots with dense stands However, when Argentine rape (Brassica napa L ) was sown along with the grain to simulate “weediness” in the experimental plots, the compensation for low germination by increased, tillering was largely prevented, and the yield ...

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.012
GPT teacher head0.195
Teacher spread0.183 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCanadian journal of agricultural science/Canadian Journal of Agricultural ScienceSame topicAgronomic Practices and Intercropping SystemsFrench-language works237,207