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Record W2027665225 · doi:10.13031/2013.13576

SOFT XRAY INSPECTION OF WHEAT KERNELS INFESTED BY SITOPHILUS ORYZAE

2003· article· en· W2027665225 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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueTransactions of the ASAE · 2003
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Chemometric Analyses
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSitophilusRice weevilHistogramBiologyMathematicsArtificial intelligencePattern recognition (psychology)AgronomyComputer scienceImage (mathematics)

Abstract

fetched live from OpenAlex

The potential of a soft Xray method (15 kV and 65 .A) to detect internal seed infestations by the rice weevil(Sitophilus oryzae) in Canada Western Red Spring wheat was determined in this study. The infested kernels were identifiedby the presence of egg plugs and were scanned with a realtime fluoroscope every 5 to 7 d until the adults emerged from thekernels. A total of 57 features using histogram groups, textural features, and histogram and shape moments were extractedfrom the Xray images of the wheat kernels. Parametric and nonparametric classifiers, and a 4layer back propagationneural network classifier were used to identify uninfested and infested wheat kernels using histogram and textural featuresindependently, and using all 57 features together. There was no significant difference between the classifiers for theidentification of uninfested and infested wheat kernels. More than 95% of uninfested kernels and kernels infested by larvalstages were correctly identified by all the classifiers. Wheat kernels infested by pupaeadults and insectdamaged kernelswere identified with more than 99% accuracy by the classifiers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.241
Teacher spread0.231 · 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