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Record W2149624440 · doi:10.4141/p03-069

Sensitivity of kidney beans (<i>Phaseolus vulgaris</i>) to soil applications of S-metolachlor and imazethapyr

2004· article· en· W2149624440 on OpenAlexvenueaboutno aff
Nader Soltani Peter Sikkema, Christy Shropshire, Todd Cowan

Bibliographic record

VenueCanadian Journal of Plant Science · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMetolachlorPhaseolusCropAgronomyDry beanCultivarYield (engineering)PesticideMathematicsBiology

Abstract

fetched live from OpenAlex

Tolerance of Montcalm and Redhawk kidney beans to preplant incorporated (PPI) and preemergence (PRE) applications of S-metolachlor, imazethapyr and their tank mix at the maximum label rate in soybeans (1×) and twice that rate (2×) was studied at two Ontario locations (Exeter and Ridgetown) in 2001 and 2002. There were no differences between the two cultivars in their responses to the herbicide treatments. Visual evaluations of crop injury never exceeded 2% for any herbicide treatment. With the exception of a 7% height reduction after the PPI application of imazethapyr plus S-metholachlor at the 2× rate, none of the other treatments reduced plant height, dry weight, seed moisture content or seed yield. At sites where there was a significant difference, the PRE application caused more crop injury than the PPI application. These results indicate that there is an acceptable margin of crop safety for PPI and PRE applications of S-metolachlor and imazethapyr alone and in tank mix combination in kidney beans in Ontario. Key words: Crop injury; crop tolerance; imazethapyr; S-metolachlor; 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)0.001
metaresearch head score (Gemma)0.000
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 score0.772
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.202
Teacher spread0.194 · 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 designBench or experimental
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

Citations31
Published2004
Admission routes2
Has abstractyes

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