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Record W2061880559 · doi:10.5539/jas.v2n4p155

Phenological and Growth Interactions between Velvetleaf (Abutilon theophrasti M.) and Cotton (Gossypium hirsutum L.)

2010· article· en· W2061880559 on OpenAlexvenueno aff
Cortes-Martín J.A., Mendiola-Ubillo M.A., Mercedes Castejón‐Muñoz

Bibliographic record

VenueJournal of Agricultural Science · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicResearch in Cotton Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsAbutilonPhenologySowingWeedGrowing degree-dayBiologyGossypium hirsutumCompetition (biology)MalvaceaeAgronomyInterspecific competitionPlant ecologyField experimentHorticultureBotanyEcology

Abstract

fetched live from OpenAlex

The phenology and growth of A. theophrasti in competition with cotton, and the influenced of weed sowing time andweed plant density on phenology and growth were examined in several field studies conducted over the period2000–2002. A. theophrasti was found to produce three cohorts that emerged in a staggered manner from April 21 toJune 20. The first cohort emerged simultaneously with cotton under a plastic cover and the second by the time cottonplants had 5–6 true leaves. Flowering in these two cohorts started at 572–594 growing degree-days (GDD), bollripening (stage H) at 800–885 GDD and boll drying at 1020–1037 GDD.Velvetleaf and cotton cotyledons were formed simultaneously at all weed sowing densities. Also, plant height of A.theophrasti increased with increasing density, whereas cotton height decreased due to shad and competition.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.278
Teacher spread0.251 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

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