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Record W2068370696 · doi:10.1086/431808

Identification of Proteins Present in the Douglas Fir Ovular Secretion: An Insight into Conifer Pollen Selection and Development

2005· article· en· W2068370696 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

VenueInternational Journal of Plant Sciences · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyPollen tubeSecretionPollenBiochemistryIsoelectric focusingBotanyProteaseEnzymePollination

Abstract

fetched live from OpenAlex

A week before fertilization in Douglas fir, a secretion fills the micropylar chamber of the ovule that houses the engulfed pollen. This liquid initiates pollen tube formation. This secretion is rich in proteins. Proteomic analysis using gel electrophoresis, combined with quadrupole time‐of‐flight tandem mass spectrometry peptide sequencing, identified nine of the more abundant proteins as a 90 kDa xylosidase with an isoelectric point (pI) of 6.6, a 65 kDa xylosidase with a pI of 6.0, a 70 kDa invertase with a pI of 6.3, a 50 kDa invertase with a pI of 6.5, a 45 kDa galactosidase with a pI of 7.8, a 29 kDa galactosidase with a pI of 5.9, a 40 kDa aspartyl protease with a pI of 5.5, a 37 kDa peroxidase with a pI of 7.9, and a 33 kDa serine carboxypeptidase–like protein with a pI of 4.5. This research presents the first evidence that conifer ovular secretion proteins may influence pollen selection and development.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.136

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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