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Record W4318611557 · doi:10.53550/eec.2022.v28i08s.022

Predatory Potential of Canthecona furcellata (Pentatomidae: Hemiptera) Against Key Defoliator Pests of Teak in Nursery and Chik Pea under Field Conditions

2022· article· en· W4318611557 on OpenAlex
C. Mohan, G Pawankumar, Rajeswar Rao, Raj K. Mishra, Shashikiran Barve

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.

fundA Canadian funder is recorded on the work.
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

VenueEcology Environment and Conservation · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsnot available
FundersIndian Council of Forestry Research and EducationTerry Fox Research Institute
KeywordsPentatomidaePredationHemipteraBiologyBiological pest controlLarvaInsectEcology

Abstract

fetched live from OpenAlex

Canthecona furcellata (Wolff.) (Hemiptera: Pentatomidae) is important biological control agents of many Lepidopteron, Coleopteran and Heteropteran insects. This predatory behavior of the species, this is a promising biological control agent for insect pests of agriculture and forest ecosystem. The nursery and field experiments were conducted to find out the predation potential of E. furcellata. The results revealed that maximum 93.66% predation was recorded on larvae of E. macheralis followed by 89.0 and 84.39% on larvae of H.puera and H. armigera respectively. Therefore, E. furcellata could be utilised effectively against E. machaeralis under field conditions, moreover, H. puera and H. armigera could be employed as laboratory hosts for mass rearing of E. furcellata.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.595

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 science0.0000.000
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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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