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Record W2954100537 · doi:10.5539/jas.v11n11p295

Homeopathy for Treating Contaminated Cucumber Seedlings With the Herbicide Residues

2019· article· en· W2954100537 on OpenAlexvenueno aff
Ricardo Adriano Felito, Oscar Mitsuo Yamashita, Wagner Gervazio, Marco Antônio Camillo de Carvalho, Delmonte Roboredo, Ana Aparecida Bandini Rossi, Ivone Vieira da Silva, Rivanildo Dallacort, Santino Seabra Júnior

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Exposure and Toxicity
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado de Mato GrossoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsGerminationHomeopathyHorticultureShootDry weightForensic sciencePicloramContaminationBiologyToxicologyAgronomyMedicine

Abstract

fetched live from OpenAlex

The aim of this study was to evaluate the effect of homeopathic medicines in the neutralization of waste herbicide 2,4-D+picloram in cucumber seeds, in the municipality of Alta Floresta-MT process. The experiment was carried out to evaluate two herbicide concentrations and five Nux vomica dynamizations (6CH, 12CH, 18CH, 24CH and 30CH), in addition to two controls, one with distilled water and the other contaminated with herbicide alone. The variables assessed were germination percentage, germination speed index, fresh weight, dry weight, shoot length, root length and stem thickness, where we observed a significant difference in most of the variables analyzed. From the results, it can be concluded that the homeopathic preparations in five dynamics of Nux vomica (6CH, 12CH, 18CH, 24CH and 30CH), act positively on vigor and development of cucumber seeds.

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 score0.930
Threshold uncertainty score0.299

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 communication0.0000.001
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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