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Record W1912630608 · doi:10.5376/me.2013.04.0004

Factors Influencing the Incidence of Mango Leaf Webber, <i>Orthaga euadrusalis</i> Hampson, (Pyralidae:Lepidoptera) in Mango and Their Management

2013· article· en· W1912630608 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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

VenueMolecular Entomology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPyralidaeLepidoptera genitaliaHorticultureIncidence (geometry)BiologyBotanyMathematics

Abstract

fetched live from OpenAlex

Screening, seasonal activity and management studies of mango leaf webber, Orthaga euadrusalis Hampson, (Pyralidae : lepidoptera) carried out at Fruit Research Station (FRS), Entkhedi, The least susceptible varieties were Chinnarasm, Piddarasm, Bombaygreen, Malda, Sindhuri and Alphanjo. While the most susceptible varieties were Mango Glass, Dahiyar, Temuria and Langrah. Significantly higher infestation was recorded in varieties had higher and dense tree canopy (r value = 0.838). Pest remained active in mango orchard from June to December and completed different over lapping generations during this period.Mechanical removal in early part of the season spot treatment with Imidacloprid (0.02%) and application of insect growth regulator Diflubenzuron were found effective and most feasible for the management of mango leaf webber.

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)0.000
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 score0.881
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.216
Teacher spread0.204 · 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