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Record W4384156341 · doi:10.1016/j.cris.2023.100064

Characterization of the swede midge, Contarinia nasturtii, first instar larval salivary gland transcriptome

2023· article· en· W4384156341 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Research in Insect Science · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Alberta
FundersAlberta Canola Producers CommissionAlberta Wheat CommissionAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of CanadaAlberta Pulse Growers Commission
KeywordsBiologyMidgeBrassicaTranscriptomeInstarLarvaHost (biology)InsectBotanySalivary glandCutwormGeneGeneticsGene expressionNoctuidae

Abstract

fetched live from OpenAlex

Proteins in saliva of gall-forming insect larvae govern insect-host plant interactions. Contarinia nasturtii, the swede midge, is a pest of brassicaceous vegetable (cabbage, cauliflower, broccoli) and canola. We examined the salivary gland (SG) transcriptome of first instar larvae reared on Brassica napus and catalogued genes encoding secreted proteins that may contribute to the initial stages of larval establishment, the synthesis of plant growth hormones, extra-oral digestion and evasion of host defenses. A significant portion of the secreted proteins with unknown functions were unique to C. nasturtii and were often members of larger gene families organized in genomic clusters with conservation patterns suggesting that they are undergoing selection.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
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 head0.100
GPT teacher head0.329
Teacher spread0.229 · 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